Stuart Russell, Curriculum Vitae
Professor and Chair of Computer Science, Michael H. Smith and Lotfi A. Zadeh
Chair in Engineering, and Director, Center for Intelligent Systems
Computer Science Division
University of California
Berkeley, CA 94705
Tel. (510) 642-4964 (w), (510) 652-6610 (h)
Fax (510) 642-5775 (w), (510) 652-7342 (h)
Email russell@cs.berkeley.edu
Home page http://www.cs.berkeley.edu/~russell
Education
B.A. (Hons.) 1st Class, Physics, Wadham College, University of Oxford, 1979--82.
Ph.D., Computer Science, Stanford University, 1982--86.
Honours, Awards
- 1st Scholar, St. Paul's School, London, 1974--78.
- Distinction, UK National Mathematical Competition, 1977.
- Wadham College Major Scholar 1979--82.
- NATO Scholar, 1982--85.
- NSF Presidential Young Investigator, 1990--95.
- UK SERC Visiting Professorship, 1992.
- Computers and Thought Award, 1995 (awarded biennially by the
International Joint Committee on Artificial Intelligence
for the most significant contributions to artificial intelligence).
- Class of 1960s Visiting Scholar, Williams College, 1995.
- Miller Professorship, UC Berkeley, 1996.
- Fellow of the American Association for Artificial Intelligence, 1997.
- Forsythe Lecturer, Stanford University, 1998.
- Selected as one of 15 ``Bay Area Visionaries for the New Millenium,''
SF Magazine, Jan 2000.
- Jon Postel Distinguished Lecturer, UCLA, 2000.
- Chancellor's Professorship, UC Berkeley, 2000.
- Michael H. Smith and Lotfi A. Zadeh Chair in Engineering, UC Berkeley, 2001.
- Fellow of the Association for Computing Machinery, 2003.
- Triangle Distinguished Lecturer (Duke University, University of North Carolina, North Carolina State University), 2004.
- Distinguished Lecturer, University of Illinois at Urbana-Champaign, 2004.
- Distinguished Lecturer, University of Illinois at Chicago, 2004.
- Distinguished Lecturer, University of Michigan, 2005.
- Distinguished Lecturer, University of Toronto, 2005.
- ACM Karl V. Karlstrom Oustanding Educator Award, 2005.
- Best Paper Nomination, European Conference on AI, 1992, for
``Efficient Memory-Bounded Search.''
- Best Industry-Related Paper Award (Honorable Mention), International
Conference on Pattern Recognition, 1994, for ``Towards Robust
Automatic Traffic Scene Analysis in Real-Time.''
- Distinguished Paper Prize, International Joint Conference on
Artificial Intelligence, 1997, for ``Object Identification in a
Bayesian Context.''
- Best Paper Prize (Honorable Mention), International Conference on
Machine Learning, 1999, for ``Policy Invariance under Reward Transformations.''
- Paper selected for journal special issue,
International Conference on Speech and Language Processing, 1999,
for ``Probabilistic modeling with Bayesian networks for automatic
speech recognition.''
- Paper selected for journal special issue,
International Joint Conference on Artificial Intelligence, 2001,
for ``Approximate inference for first-order probabilistic languages.''
Invited/Keynote Speeches
- Invited Speaker, European Conference on Economics and Game Theory, 1992.
- Invited Speaker, 3rd Annual NEC Symposium on Computer Science,
Princeton, 1992.
- Keynote Speaker, IEEE Workshop on Imprecise and Approximate Computation,
Phoenix, 1992.
- Invited Speaker, Annual Meeting of the American Philosophical Association,
April 1993.
- Keynote Speaker, International Conference on Economics and Game Theory,
Marseilles, 1994.
- Keynote Speaker, IJCAI Workshop on Anytime Algorithms, Montreal, 1995.
- Invited Speaker, Reconnaisance des Formes et Intelligence Artificielle,
Rennes, France, 1996.
- Invited Speaker, Kuenstliche Intelligenz (KI96 Conference), Dresden, Germany, 1996.
- Invited Speaker, European Conference on Machine Learning, Prague, 1997.
- Invited Speaker, Neural Information Processing Systems, Denver, 1997.
- Invited Speaker, Vancouver Cognitive Science Conference, 1998
- Keynote Speaker, Artificial Intelligence (AI-98), Vancouver, 1998.
- Invited Speaker, Theoretical Aspects of Rationality and Knowledge (TARK 98),
Chicago, July 1998
- Invited Speaker, ACM Conference on Computational Learning Theory,
Conference on Uncertainty in Artificial Intelligence, and
International Conference on Machine Learning, Madison, Wisconsin, 1998.
- Keynote Speaker, Discovery Science, Kyoto, Japan, 1999.
- Keynote Speaker, Workshop on Automated Speech Recognition and Understanding,
Keystone, Colorado, 1999.
- Invited Speaker, AAAI Workshop on Uncertainty in Computation, 2000.
- Invited Speaker, International Fuzzy Systems Association Conference, Vancouver, 2001.
- Keynote Speaker, IJCAI Workshop on Reasoning under Uncertainty in Robotics, Seattle, 2001.
- Invited Speaker, 13th Dutch-Belgian AI Conference, Amsterdam, 2001.
- Invited Speaker, 9th IFSA World Congress, 2001
- Keynote Speaker, Mexican International Conference on AI, 2002
- Keynote Speaker, Dutch STW (national science foundation) meeting on
learning systems, Nijmegen, Holland, 2002
- Keynote Speaker, KTH (Royal Institute of Technology) 175th Anniversary, Stockholm, 2002
- Invited Participant, National Academy of Sciences Japanese-American Frontiers
of Science Symposium, 2003.
- Keynote Speaker, KDD Workshop on Record Linkage, 2003.
- Invited Speaker, Wayland Collegium, Brown University, 2005.
- Invited Tutorial Speaker, Neural Information Processing Systems (NIPS), 2005.
- Invited Speaker, The Dartmouth Artificial Intelligence Conference: The next 50 years, 2006.
- Keynote Speaker, International Conference on Inductive Logic Programming, Santiago de Compostela, Spain, 2006.
- Keynote Speaker, International Conference on Machine Learning and Cybernetics, Dalian, China, 2006.
Professional and Service
Executive Council Member, American Association for Artificial Intelligence, 1997-2000
Founding board member and Secretary, International Machine Learning Society, 2001-
Secretary, JMLR Foundation
Editor, Prentice Hall Series in Artificial Intelligence
Associate Editor (Artificial Intelligence), Journal of the ACM
Associate Editor and Advisory Board member, Journal of Artificial Intelligence Research
Associate Editor, Journal of Machine Learning Research
Editorial Board, Machine Learning Journal (until 2000)
Associate Editor, Artificial Intelligence
Editorial Board, AI Communications
Advisory Board, Springer-Verlag Series in Cognitive Technology
Board member and US-UK Secretary, Machine Intelligence Series
Advisory Editor for AI and Computer Science, MIT Press Encyclopaedia of the
Cognitive Sciences
Chair, DARPA Workshop on Human-Level AI, 2004
Co-Chair, AAAI Fall Symposium on Learning Complex Behaviours, 1996
Co-Chair, Workshop on Learning in Bayesian Networks, NIPS 95
Program and Conference Co-Chair, Int'l Conference on Machine Learning,
1995
Program and Symposium Chair, AAAI Symposium on AI and Limited Rationality, Stanford, 1989
Program Area Chair, AI and Cognitive Science areas, NIPS 96
Program Area Chair (Decision Theory, Machine Learning, Search), AAAI 94
Program Area Chair (Machine Learning), AAAI 90
Organizing and Program Committee, AAAI Spring Symposium on Decision-Theoretic
Planning, 1994
Organizing and Program Committee, AAAI Fall Symposium on Planning and Learning in
Games, 1993
Organizing and Program Committee, IEEE Workshop on Imprecise and Approximate
Computation, 1992
Organizing and Program Committee, Workshop on Theoretical and Practical Design of
Rational Agents, IJCAI 91
Member, Program Committee, AAAI 88, AAAI 90, AAAI 92, International Conference
on Machine Learning 1992, 1993, 1994, 1996, Third International
Conference on Multistrategy Learning, 1993, Int'l Conference on
Knowledge Representation and Reasoning, 1994, 1998, 2002, ACM Workshop on Computational Learning Theory, 1998, European Conference on AI, 1996, European Conference on Machine Learning, 2000, KDD Workshop on Record Linkage, 2003, ICML Workshop on Statistical Relational Learning, 2004, ICML Workshop on Relational Reinforcement Learning, 2004.
National Science Foundation Review Panelist
Fellowship Panel, National Research Council
Proposal Reviewer, National Science Foundation, California MICRO Program, Air
Force Office of Scientific Research
Panelist, Defense Threat Reduction Agency, 2001
Commentator, Behavioral and Brain Sciences
Reviewer, Artificial
Intelligence Journal, Machine Learning Journal,
Journal of Artificial Intelligence Research,
Computational Intelligence Journal,
International Journal of Intelligent Systems,
Journal of the ACM,
Journal of Logic and Computation,
ACM Transactions on Programming Languages and Systems,
ACM Transactions on Computer Systems,
IEEE Transactions on Pattern Analysis and Machine Intelligence,
IEEE Transactions on Data and Knowledge Engineering,
IEEE Transactions on Systems, Man and Cybernetics,
Cognitive Science Journal.
Reviewer, ACM Dissertation Award, 1988
Reviewer, International Joint Conference on Artificial Intelligence
(1987, 1989, 1991, 1993, 1995),
Conference on Uncertainty in AI (1991, 1992),
International Conference on Automata, Languages, and Programming (1987),
Symposium on Parallel and Distributed Programming (1993), Fifth
Generation Computer Systems (1992).
Book Reviewer, MIT Press, Pitman Press, Addison-Wesley, Morgan
Kaufmann, Cambridge University Press
Organizing Committee, Newsletter Editor, and Spokesperson, British
Scientists Abroad, 1990--92
Chairman, British Scientists Abroad, 1993--96
University Service
Computer Science Division
Chair, Faculty Search Committee (2000)
Faculty Search Committee (1994, 1995, 1997, 1999, 2001, 2002, 2003, 2004)
Chair, Competitions Committee(1990--92)
Reentry Program Committee(1986--90)
Undergraduate Study Committee (1991)
Graduate Admissions Committee (2002)
Scheduling Officer (1993--97)
EECS Department
Executive Committee (2001--2, 2005--6)
Co-Chair, Faculty Retreat Committee (1998--99, 2003-04)
Co-Chair, Scheduling Committee (1993--97)
Undergraduate Advisor
Minority Graduate Student Mentor
Student Awards Committee
Faculty Search Committee (non-conventional computing)
Graduate Study Committee
Curriculum Revision Committee
Other departments
IEOR Dept Faculty Search Committee (1995)
Bionegineering Dept Faculty Search Committee (2000)
University
Committee on Undergraduate Scholarships and Honours (1996--present)
Chair, Committee on Undergraduate Scholarships and Honours (2000--present)
Chair, Truman Subcommittee, Committee on Undergraduate Scholarships
and Honours (1999--2000)
Member, Coordination Board for Undergraduate Admissions, Financial
Aid, and Enrollment Management
UC Systemwide
Steering Committee on Life Science Informatics (1999)
Publications
Books
-
Stuart Russell The Use of Knowledge in Analogy and Induction.
London: Pitman, 1989.
-
Stuart Russell and Eric H. Wefald Do the Right Thing: Studies
in Limited Rationality. Cambridge, MA: MIT Press, 1991.
-
Stuart Russell and Peter Norvig Artificial Intelligence: A Modern
Approach. Englewood Cliffs, NJ: Prentice Hall, 1995.
-
Stuart Russell and Peter Norvig Solution Manual for ``Artificial Intelligence: A Modern
Approach.'' Englewood Cliffs, NJ: Prentice Hall, 1995.
-
Armand Prieditis and Stuart Russell (Eds.), Machine Learning:
Proceedings of the Twelfth International Conference,
Tahoe City, CA: Morgan Kaufmann, 1995.
-
Stuart Russell and Peter Norvig, Inteligencia Artificial: Un Enfoque Moderno (R. Gutierrez, Tr.).
Mexico City: Prentice Hall Hispanoamericana, 1997.
-
Stuart Russell and Peter Norvig, [Artificial Intelligence: A Modern
Approach] (in Japanese; Tr. Koichi Furukawa et al.). Tokyo:
Kyoritsu Shuppan, 1997.
-
Stuart Russell and Peter Norvig, Intelligenza Artificiale: Un Approccio Moderno (L. Aiello, Tr.).
Turin, Italy: UTET Libreria Srl, 1998.
-
Stuart Russell and Peter Norvig,
Mesterséges Intelligencia Modern Megközelitésben.
(Hungarian translation of Artificial Intelligence: A Modern Approach.)
Budapest, Panem Publishing, 1999.
-
Stuart Russell and Peter Norvig Artificial Intelligence: A Modern
Approach (Second Edition). Upper Saddle River, NJ: Prentice Hall, 2003.
- Stuart Russell and Peter Norvig,
``Solution Manual for Artificial Intelligence: A Modern Approach.''
2nd Edition, Prentice Hall, 2003.
- Stuart Russell and Peter Norvig,
Inteligencia Artificial.
(Portuguese translation of Artificial Intelligence: A Modern
Approach, s\
econd edition.)
Rio de Janeiro: Elsevier/Editora Campus, 2004.
- Stuart Russell and Peter Norvig, 《人工智能——一种现代方法(第二版)》
(Chinese Simplified translation of Artificial Intelligence: A Modern Approach, second edition.)
Beijing: Posts and Telecommunications Press, 2004.
- Stuart Russell and Peter Norvig,
Inteligencia Artificial: Un Enfoque Moderno.
(Spanish translation of Artificial Intelligence: A Modern Approach, second edition.)
Madrid: Pearson Educación, S. A., 2004.
- Stuart Russell and Peter Norvig,
Τεχνητή
Νοημοσύνη,
Μια σύγχρονη προσέγγιση.
(Greek translation of Artificial Intelligence: A Modern Approach, second edition.)
Athens: Kleidarithmos, 2004.
- Stuart Russell and Peter Norvig,
Intelligenza Artificiale Vol. 1 Un Approcio Moderno.
(Vol. 1 of Italian translation of Artificial Intelligence: A Modern Approach, second edition.)
Rome: Pearson Italia, 2005.
- Stuart Russell and Peter Norvig,
Künstliche Intelligenz: Ein moderner Ansatz (2nd Edition).
(German translation of Artificial Intelligence: A Modern Approach, second edition.)
Munich: Verlag Pearson Studium, 2005.
-
Stuart Russell and Peter Norvig,
Искусственный интеллект: современный подход
(Russian translation of Artificial Intelligence: A Modern Approach, second edition.)
Translated by Konstantin Ptitsyn.
Moscow: Williams Publishing, 2005.
-
Stuart Russell and Peter Norvig,
Mesterséges Intelligencia Modern Megközelitésben.
(Hungarian translation of Artificial Intelligence: A Modern Approach, second edition.)
Budapest, Panem Publishing, 2006.
Journal papers
-
Stuart Russell ``Rationality as an Explanation of Language?'' (commentary).
Behavioral and Brain Sciences 10, 1987.
-
Stuart Russell and Eric Wefald ``Principles of Metareasoning.''
Artificial Intelligence 49, 1991 (invited paper).
-
Stuart Russell ``An Architecture for Bounded Rationality.''
SIGART Bulletin 2(4), 1991.
-
Stuart Russell ``Prior Knowledge and Autonomous Learning.''
Journal of Robotics and Autonomous Systems 8, 1991.
-
Stuart Russell ``Inductive Learning by Machines.''
Philosophical Studies 64(1), 1991.
-
Stuart Russell and Devika Subramanian
``Provably bounded-optimal agents.''
Journal of Artificial Intelligence Research, 2, 1995 (invited paper).
-
Shlomo Zilberstein and Stuart Russell
``Optimal composition of real-time systems.''
Artificial Intelligence, 82, 181--213, 1996.
-
Stuart Russell,
``Rationality and Intelligence.''
Artificial Intelligence, 94, 57--77, 1997 (invited paper).
-
John Binder, Daphne Koller, Stuart Russell, Keiji Kanazawa,
``Adaptive Probabilistic Networks with Hidden variables.''
Machine Learning, 29, 213--244, 1997 (invited paper).
-
Stuart Russell, Lewis Stiller, and Othar Hansson,
``PNPACK: Computing with Probabilities in Java.''
Concurrency: Practice and Experience, 9,
1333--1339, 1997.
-
Prasad Tadepalli and Stuart Russell,
``Learning from Examples and Membership Queries with Structured
Determinations.''
Machine Learning, 32, 245--95, 1998.
- Tim Huang and Stuart Russell,
``Object Identification: A Bayesian Analysis with Application
to Traffic Surveillance.''
Artificial Intelligence, 103, 1-17, 1998 (invited paper).
- Geoffrey Zweig and Stuart Russell,
``Probabilistic modeling with Bayesian
networks for automatic speech recognition.''
Australian Journal of Intelligent Information Processing Systems,
5(4), 253-60, 1999 (invited paper).
Refereed conference papers in published proceedings
-
Stuart Russell ``A Quantitative Analysis of Analogy by Similarity.''
In Proceedings of the Fifth National Conference on Artificial
Intelligence, Philadelphia, PA: Morgan Kaufmann, 1986.
-
Stuart Russell ``Preliminary Steps Toward the Automation of Induction.''
In Proceedings of the Fifth National Conference on Artificial
Intelligence, Philadelphia, PA: Morgan Kaufmann, 1986.
-
Stuart Russell ``Analogy and Single-Instance Generalization.''
In Proceedings of the
Fourth International Machine Learning Workshop, Irvine, CA: Morgan
Kaufmann, 1987.
-
Todd R. Davies and Stuart Russell ``A Logical Approach to Reasoning
by Analogy.''
In Proceedings of the Tenth
International Joint Conference on Artificial
Intelligence, Milan, Italy: Morgan Kaufmann, 1987.
-
Stuart Russell and Benjamin Grosof ``A Declarative Approach to Bias
in Concept Learning.''
In Proceedings of the
Sixth National Conference on Artificial
Intelligence, Seattle, WA: Morgan Kaufmann, 1987.
-
Michael Braverman and Stuart Russell ``Boundaries of Operationality.''
In Proceedings of the
Fifth International Conference on Machine Learning, Ann Arbor, MI:
Morgan Kaufmann, 1989.
-
Michael Braverman and Stuart Russell ``IMEX: Overcoming Intractability in
Explanation-Based Learning.'' In
Proceedings of the Seventh National Conference on
Artificial Intelligence, Minneapolis, MN: Morgan Kaufmann, 1988.
-
Stuart Russell ``Tree-Structured Bias.''
In Proceedings of the Seventh National Conference on
Artificial Intelligence, Minneapolis, MN: Morgan Kaufmann, 1988.
-
Alice Agogino, Ramanathan Guha and Stuart Russell
``Sensor Fusion using Influence Diagrams and Reasoning by Analogy:
Application to Milling Machine Monitoring and Control.''
In Proceedings of the Third International Conference on
Applications of Artificial Intelligence in Engineering, Stanford, CA:
Computational Mechanics Institute, 1988.
-
Stuart Russell and Eric Wefald ``Principles of Meta-Reasoning.''
In Proceedings of the First International Conference on Principles of
Knowledge Representation and Reasoning, Toronto, Ontario: Morgan
Kaufmann, 1989.
-
Stuart J. Russell ``Execution architectures and compilation.''
In Proceedings of the Eleventh International Joint
Conference on Artificial Intelligence, Detroit, MI: Morgan Kaufmann, 1989.
-
Stuart Russell and Eric Wefald ``On optimal game-tree search using
rational metareasoning.''
In Proceedings of the Eleventh International Joint
Conference on Artificial Intelligence, Detroit, MI: Morgan Kaufmann, 1989.
-
Eric Wefald and Stuart Russell
``Adaptive Learning of Decision-Theoretic Search Control Knowledge.''
In Proceedings of the Sixth International Workshop on
Machine Learning, Ithaca, NY: Morgan Kaufmann, 1989.
-
Benjamin Grosof and Stuart Russell
``Declarative Bias for Structural Domains.''
In Proceedings of the Sixth International Workshop on
Machine Learning, Ithaca, NY: Morgan Kaufmann, 1989.
-
Sampath Srinivas, Stuart Russell, and Alice Agogino, ``Automated
construction of sparse Bayesian networks from unstructured probabilistic
models and domain information.'' In Proceedings of the Fifth Workshop on
Uncertainty in Artificial Intelligence, Windsor, Ontario, 1989.
-
Stuart Russell
``Fine-grained decision-theoretic search control.''
In
Proceedings of the Sixth Conference on Uncertainty in
Artificial Intelligence, Cambridge, MA: Morgan Kaufmann, 1990.
-
Stuart Russell and Shlomo Zilberstein
``Composing Real-Time Systems.''
In Proceedings of the Twelfth International Joint
Conference on Artificial Intelligence, Sydney, Australia: Morgan
Kaufmann, 1991.
-
Shlomo Zilberstein and Stuart Russell
``Efficient Resource-Bounded Reasoning in AT-RALPH.''
In Proceedings of the First International Conference on AI
Planning Systems, College Park, Maryland: Morgan Kaufmann, 1992.
-
Ronald Musick and Stuart Russell
``How Long Will It Take?''
In Proceedings of the Tenth National Conference on Artificial
Intelligence, San Jose, CA: AAAI Press, 1992.
-
Saso Dzeroski, Stephen Muggleton and Stuart Russell
``PAC-Learnability of Determinate Logic Programs.''
In Proceedings of the Fifth Annual ACM Workshop on Computational
Learning Theory (COLT-92), Pittsburgh, PA: ACM Press, 1992.
-
Stuart Russell
``Efficient Memory-Bounded Search Methods.''
In Proceedings of the Tenth European Conference on Artificial
Intelligence, Vienna: Wiley, 1992.
-
Saso Dzeroski, Stephen Muggleton and Stuart Russell
``PAC-Learnability of Constrained, Nonrecursive Logic Programs.''
In Proceedings of the Third International Workshop on Computational
Learning Theory and Natural Learning Systems (CLNL-92), Madison, WI, 1992.
-
Musick, R., Catlett, J. and Russell, S.
``An Efficient Method for Constructing Approximate Decision Trees
for Large Databases.''
In Proceedings of the Tenth International Conference in
Machine Learning, Amherst, MA, 1993.
-
Gary Ogasawara and Stuart Russell
``Planning Using Multiple Execution Architectures.''
In Proceedings of the Thirteenth International Joint
Conference on Artificial Intelligence, Chambery, France: Morgan
Kaufmann, 1993.
-
Stuart Russell and Devika Subramanian
``Provably bounded optimal agents.''
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence, Chambery, France, 1993.
-
S. Zilberstein and S. J. Russell.
``Anytime Sensing, Planning and Action: A Practical Model for Robot Control.''
In Proceedings of the Thirteenth International Joint Conference
on Artificial Intelligence, Chambery, France, 1993.
-
T. Huang, D. Koller, J. Malik, G. Ogasawara, B. Rao, S. Russell, and J. Weber.
``Automatic symbolic traffic scene analysis using belief networks.''
In Proceedings of the Twelfth National Conference on Artificial
Intelligence, Seattle, WA, 1994.
-
J. Tash and S. Russell ``Control strategies for a stochastic
planner.''
In Proceedings of the Twelfth National Conference on Artificial
Intelligence, Seattle, WA, 1994.
-
D. Koller, J Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russell,
``Towards Robust Automatic Traffic Scene Analysis in Real-Time.''
In Proceedings of the International Conference on Pattern Recognition,
Israel, Nov. 1994.
-
D. Koller, J Weber, T. Huang, J. Malik, G. Ogasawara, B. Rao, and S. Russell,
``Towards robust automatic traffic scene analysis in real-time.''
In Proceedings of the 33rd IEEE Conference on Decision and Control,
Lake Buena Vista, Florida, Dec. 1994: IEEE Press.
-
Stuart Russell, John Binder, Daphne Koller, and Keiji Kanazawa,
``Local learning in probabilistic networks with hidden variables.''
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence, Montreal, Canada, 1995.
-
Ron Parr and Stuart Russell,
``Approximating Optimal Policies for Partially Observable
Stochastic Domains.''
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence, Montreal, Canada, 1995.
-
Jeff Forbes, Tim Huang, Keiji Kanazawa, and Stuart Russell,
``The BATmobile: Towards a Bayesian Automated Taxi.''
In Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence, Montreal, Canada, 1995.
-
Stuart Russell,
``Rationality and Intelligence.''
Invited paper (Computers and Thought Award), in
Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence, Montreal, Canada, 1995.
-
Keiji Kanazawa, Daphne Koller, and Stuart Russell,
``Stochastic simulation algorithms for dynamic probabilistic networks.''
In Proceedings of the Eleventh Conference on Uncertainty in
Artificial Intelligence, Montreal, Canada: Morgan Kaufmann, 1995.
-
M. Wellman, C. Liu, D. Pynadath, S. Russell, J. Forbes, T. Huang,
and K. Kanazawa.
``Decision-Theoretic Reasoning for Traffic Monitoring and Vehicle Control.''
In Proceedings of the Intelligent Vehicles '95 Symposium, Detroit,
Michigan, September 1995.
-
Timothy Huang and Stuart Russell,
``Object identification in a Bayesian context.''
Distinguished Paper Prize, in Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence, Nagoya, Japan, 1997.
-
John Binder, Kevin Murphy, Stuart Russell,
``Space-Efficient Inference in Dynamic Probabilistic Networks.''
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence, Nagoya, Japan, 1997.
-
Nir Friedman, Moises Goldszmidt, David Heckerman, Stuart Russell,
``Where is the Impact of Bayesian Networks in Learning?''
In Proceedings of the Fifteenth International Joint Conference
on Artificial Intelligence, Nagoya, Japan, 1997.
-
Nir Friedman and Stuart Russell,
``Image Segmentation in Video Sequences.''
In Proceedings of the Thirteenth Conference on Uncertainty in
Artificial Intelligence, Providence, Rhode Island: Morgan Kaufmann, 1997.
-
Ron Parr and Stuart Russell,
``Reinforcement Learning with Hierarchies of Machines.''
In Advances in Neural Information Processing Systems 10,
MIT Press, 1998.
-
Nir Friedman, Kevin Murphy, and Stuart Russell,
``Learning the Structure of Dynamic Probabilistic Networks.''
In Proceedings of the Conference on Automated Learning and Discovery,
Pittsburgh, June 1998.
-
Geoff Zweig and Stuart Russell,
``Speech Recognition with Dynamic Bayesian Networks.''
In Proceedings of the Fifteenth National Conference on Artificial Intelligence, Madison, Wisconsin: AAAI Press, 1998.
-
R. Dearden, N. Friedman, and S. Russell, ``Bayesian Q-Learning.''
In Proceedings of the Fifteenth National Conference on Artificial Intelligence, Madison, Wisconsin: AAAI Press, 1998.
-
N. Friedman, K. Murphy, and S. Russell,
``Learning the Structure of Dynamic Probabilistic Networks.''
In Proceedings of the Fourteenth Conference on Uncertainty in
Artificial Intelligence, Madison, Wisconsin: Morgan Kaufmann, 1998.
-
S. Russell, ``Learning agents for uncertain environments (extended abstract).''
Invited paper, in Proceedings of the Eleventh Annual ACM Workshop on Computational
Learning Theory (COLT-98), Madison, Wisconsin: ACM Press, 1998.
-
G. Zweig and S. Russell, ``Probabilistic Modeling with Bayesian Networks for ASR.''
In Proceedings of the International Conference on Spoken Language Processing, Sydney, Australia: IEEE Press, 1998.
-
Andrew Y. Ng, Daishi Harada, and Stuart Russell,
``Policy invariance under reward
transformations: Theory and application to reward shaping.''
In Proceedings of the Sixteenth International Conference on Machine Learning, Bled, Slovenia: Morgan Kaufmann, 1999.
- Vassilis Papavassiliou and Stuart Russell,
``Convergence of reinforcement learning with general function approximators.''
In Proceedings of the Sixteenth International Joint Conference
on Artificial Intelligence, Stockholm: Morgan Kaufmann, 1999.
- Hanna Pasula, Stuart Russell, Michael Ostland, and Ya'acov Ritov,
``Tracking many objects with many sensors.''
In Proceedings of the Sixteenth International Joint Conference
on Artificial Intelligence, Stockholm: Morgan Kaufmann, 1999.
- Stuart Russell, ``Expressive probability models for speech recognition and understanding.'' In
Proc. International Workshop on Automatic Speech
Recognition and Understanding (ASRU), Keystone, Colorado, 1999 (invited paper).
- Stuart Russell, ``Expressive probability models in science.'' In
Proceedings of the Second International Conference on Discovery Science, Tokyo, Japan:
Springer Verlag, 1999 (invited paper).
-
Andrew Y. Ng and Stuart Russell,
``Algorithms for inverse reinforcement learning.''
In Proceedings of the Seventeenth International Conference on Machine Learning, Stanford, California: Morgan Kaufmann, 2000.
-
Arnaud Doucet, Nando de Freitas, Kevin Murphy, and Stuart Russell,
``Rao-Blackwellised Particle Filtering
for Dynamic Bayesian Networks.'' In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence , Stanford, California: Morgan Kaufmann, 2000.
- David Andre and Stuart Russell,
``Programmable Reinforcement Learning Agents.''
In Advances in Neural Information Processing Systems 13,
MIT Press, 2001.
- Nikunj Oza and Stuart Russell,
``Online Bagging and Boosting.''
In Eighth International Workshop on Artificial Intelligence and Statistics, Key West, Florida. 2001
- Nikunj Oza and Stuart Russell,
``Experimental Comparisons of Online and Batch Versions of Bagging and Boosting.''
In Proc. KDD-01, San Francisco, 2001.
- Stuart Russell,
``Identity uncertainty.''
In Proc. IFSA-01, Vancouver, 2001. (Invited paper)
- Joao de Freitas, Pedro Hoejen-Soerensen, Michael Jordan, and Stuart Russell,
``Variational MCMC.''
In Proc. UAI-01, Seattle, 2001.
- Hanna Pasula and Stuart Russell,
``Approximate inference for first-order probabilistic languages.''
In Proc. IJCAI-01, Seattle, 2001.
- Bhaskara Marthi, Hanna Pasula, Stuart Russell, Yuval Peres,
``Decayed MCMC Filtering.''
In Proc. UAI-02, Edmonton, Alberta:
Morgan Kaufmann, 2002.
- David Andre and Stuart Russell,
``State Abstraction for Programmable Reinforcement Learning Agents.''
In Proc. AAAI-02, Edmonton, Alberta: AAAI Press, 2002.
- Eric P. Xing, Andrew Y. Ng, Michael I. Jordan, and Stuart Russell,
``Distance Metric Learning, with application to Clustering with side-information.''
In Advances in Neural Information Processing Systems 15,
MIT Press, 2003.
-
Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell, and Ilya Shpitser,
``Identity Uncertainty and Citation Matching.''
In Advances in Neural Information Processing Systems 15,
MIT Press, 2003.
-
Eric P.Xing, Michael I. Jordan, Richard M. Karp, and Stuart Russell,
``A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences.''
In Advances in Neural Information Processing Systems 15,
MIT Press, 2003.
- Eyal Amir and Stuart Russell,
``Temporal Logical Filtering---Preliminary Results.''
In Proc. Common Sense 2003, Stanford, CA, 2003.
- Eyal Amir and Stuart Russell,
``Logical Filtering.''
In Proc. IJCAI-03, Acapulco, Mexico, 2003.
- Stuart Russell and Andrew Zimdars,
``Q-Decomposition for Reinforcement Learning Agents.''
In Proc. ICML-03, Washington, DC, 2003.
- Greg Lawrence, Noah Cowan, and Stuart Russell,
``Efficient Gradient Estimation for Motor Control Learning.''
In Proc. UAI-03, Acapulco, Mexico, 2003.
- Eric P. Xing, Michael I. Jordan, and Stuart Russell,
``A generalized mean field algorithm for variational inference in exponential families.''
In Proc. UAI-03, Acapulco, Mexico, 2003.
- Eric Xing, Michael Jordan, and Stuart Russell,
``Graph partition strategies for generalized mean field inference.''
In Proc. UAI-04, Banff, Alberta, 2004.
- Songhwai Oh, Stuart Russell, and Shankar Sastry,
``Markov Chain Monte Carlo Data Association for General Multiple Target Tracking Problems.''
In Proc. 43rd IEEE Conference on Decision and Control (CDC-04), Paradise Island,
Bahamas, 2004.
- Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and
Andrey Kolobov,
``Approximate Inference for Infinite Contingent
Bayesian Networks.''
In Proc. Tenth International Workshop on
Artificial Intelligence and Statistics, Barbados, 2005.
- Brian Milch, Bhaskara Marthi, David Sontag, Stuart Russell, Daniel L. Ong and
Andrey Kolobov,
``BLOG: Probabilistic Models with Unknown Objects.''
In Proc. IJCAI-05, Edinburgh, Scotland, 2005.
- Stuart Russell and Jason Wolfe,
``Efficient belief-state AND-OR search, with application to Kriegspiel.''
In Proc. IJCAI-05, Edinburgh, Scotland, 2005.
- Bhaskara Marthi, Stuart Russell, David Latham, and Carlos Guestrin,
``Concurrent hierarchical reinforcement learning.''
In Proc. IJCAI-05, Edinburgh, Scotland, 2005.
- Brian Milch and Stuart Russell,
``General-Purpose MCMC Inference over Relational Structures.''
In Proc. UAI-06, Cambridge, MA, 2006.
- Bhaskara Marthi and Stuart Russell,
``A Compact, Hierarchical Q-Function Decomposition.''
In Proc. UAI-06, Cambridge, MA, 2006.
Refereed conference papers
-
Stuart Russell and Eric Wefald ``Multi-Level Decision-Theoretic
Search.'' In Proceedings of the AAAI Symposium on Computer Game-Playing,
Stanford, March, 1988.
-
Michael Braverman and Stuart Russell ``Explanation-Based Learning in
Complex Domains.''
In Proceedings of the AAAI Symposium on Explanation-Based Learning,
Stanford, March, 1988.
-
Stuart Russell and Devika Subramanian ``Mutual Constraints on
Representation and Inference.''
In Proceedings of the International Workshop on Machine Learning,
Meta-Reasoning and Logics, Sesimbra, Portugal, 1988.
-
Stuart Russell and Benjamin Grosof ``A Sketch of Autonomous Learning
using Declarative Bias.''
In Proceedings of the International Workshop on Machine Learning,
Meta-Reasoning and Logics, Sesimbra, Portugal, 1988.
-
Benjamin Grosof and Stuart Russell ``Shift of Bias as Nonmonotonic
Reasoning.''
In Proceedings of the International Workshop on Machine Learning,
Meta-Reasoning and Logics, Sesimbra, Portugal, 1988.
-
Eric Wefald and Stuart Russell,
``Estimating the value of computation: The case of real-time search.''
In Proceedings of the AAAI Symposium on AI
and Limited Rationality, Stanford, March, 1989.
-
Othar Hansson, Andrew Mayer, and Stuart Russell,
``Decision-theoretic planning in BPS.''
In Proceedings of the AAAI Symposium on Planning in
Uncertain Environments, Stanford, March, 1990.
-
Stuart Russell ``An Architecture for Bounded Rationality.''
In Proceedings of the AAAI Symposium on Integrated Architectures
for Intelligent Agents, Stanford, March, 1991.
-
Stuart Russell ``An Architecture for Bounded Rationality.''
In
Proceedings of the IJCAI Workshop on Theoretical and Practical Design of
Rational Agents, Sydney, August, 1991.
-
Shlomo Zilberstein and Stuart Russell
``Reasoning about optimal allocation of time using conditional
performance profiles.'' In Proceedings of the AAAI-92 Workshop on
Implementations of Temporal Reasoning, San Jose, CA, July, 1992.
-
Shlomo Zilberstein and Stuart Russell
``Control of Mobile Robots Using Anytime Computation.''
In Proceedings of the AAAI Fall Symposium on Applications
of Artificial Intelligence to Real-World Autonomous Mobile Robots,
Cambridge, MA, October, 1992.
-
Shlomo Zilberstein and Stuart Russell
``Constructing utility-driven real-time systems using anytime algorithms.''
Proceedings of the IEEE Workshop on Imprecise and Approximate
Computation, Phoenix, AZ, December, 1992.
-
Gary Ogasawara and Stuart Russell
``Decision-theoretic planning with multiple execution architectures.''
Proceedings of the AAAI Spring Symposium on AI Planning, Stanford, CA, March 1993.
-
Stuart Russell and Devika Subramanian
``Constructing bounded optimal systems.''
In Proceedings of the AAAI Spring Symposium
on AI and NP-hard problems, Stanford, CA, March 1993.
-
Brenda Barbour and Stuart Russell ``Experiments in Adaptive Indexing
for Logic Programming.'' In Proceedings of the ICML-93 Workshop
on Knowledge Compilation and Speedup Learning, Amherst, MA, June 1993.
-
Tim Huang, Gary Ogasawara, and Stuart Russell
``Symbolic Traffic Scene Analysis Using Belief Networks.''
In Proceedings of the AAAI Workshop on AI in Intelligent Vehicle and Highway
Systems, Washington, DC, 1993.
-
Scott Davies and Stuart Russell, ``NP-completeness of searches for
smallest possible feature sets.'' In Proceedings of the AAAI Fall
Symposium on Relevance, New Orleans, Nov. 1994.
-
Stuart Russell and Peter Norvig, ``A Modern, Agent-Oriented Approach
to AI Instruction.'' In Proceedings of the AAAI Fall Symposium
on Innovative Instruction for Introductory AI, New Orleans,
Nov. 1994.
- Daishi Harada and Stuart Russell,
``Extended abstract: Learning search strategies.''
In Proceedings of the AAAI Spring Symposium on Search Techniques for Problem Solving
under Uncertainty and Incomplete Information, Stanford, CA, 1999.
- Michael Shilman, Hanna Pasula, Stuart Russell, and Richard
Newton, ``Statistical Visual Language Models for Ink Parsing.''
In Proc. AAAI Spring Symposium on Sketch Understanding,
Stanford, March 2002.
- Bhaskara Marthi, Brian Milch, and Stuart Russell,
``First-Order Probabilistic Models for Information Extraction.''
In Proc. IJCAI-03 Workshop on Learning Statistical Models from Relational Data, Acapulco, Mexico, 2003.
- Brian Milch, Bhaskara Marthi, and Stuart Russell,
``BLOG: Relational Modeling with Unknown Objects.''
In Proc. ICML-04 Workshop on Statistical Relational Learning, Banff, Canada, 2004.
- Bhaskara Marthi, David Latham, Carlos Guestrin, Stuart Russell,
``Concurrent Hierarchical Reinforcement Learning.''
In Proc. AAAI-04 Workshop on Learning and Planning in Markov Processes, San Jose, 2004.
- Bhaskara Marthi, Stuart Russell, and David Latham,
``Writing Stratagus-Playing Agents in Concurrent ALisp.''
In Proc. IJCAI-05 Workshop on Reasoning, Representation, and Learning in Computer Games, Edinburgh, Scotland, 2005.
Book chapters
-
Stuart Russell ``Analogy by Similarity.'' In David Helman (Ed.),
Analogical Reasoning, Boston, MA: D. Reidel, 1988.
-
Stuart Russell and Benjamin Grosof ``Declarative Bias: An
Overview.'' In Benjamin, P. (Ed.)
Change of Representation and Inductive Bias,
Dordrecht: Kluwer Academic Publishers, 1989.
-
Stuart Russell and Devika Subramanian ``Mutual Constraints on
Representation and Inference.''
In Brazdil, P., and Konolige, K. (Eds.) Machine Learning,
Meta-Reasoning and Logics. Dordrecht: Kluwer Academic Publishers, 1990.
-
Stuart Russell and Benjamin Grosof ``A Sketch of Autonomous Learning
using Declarative Bias.''
In Brazdil, P., and Konolige, K. (Eds.) Machine Learning,
Meta-Reasoning and Logics. Dordrecht: Kluwer Academic Publishers, 1990.
-
Benjamin Grosof and Stuart Russell ``Shift of Bias as Nonmonotonic
Reasoning.''
In Brazdil, P., and Konolige, K. (Eds.) Machine Learning,
Meta-Reasoning and Logics. Dordrecht: Kluwer Academic Publishers, 1990.
-
Stuart Russell ``Prior Knowledge and Autonomous Learning.''
In Maes, P. and van der Velde, W. (Eds.) Representation
and Learning in an Autonomous Agent. Cambridge, MA: MIT Press, 1990.
-
Sampath Srinivas, Stuart Russell, and Alice Agogino, ``Automated
construction of sparse Bayesian networks from unstructured probabilistic
models and domain information.'' In M. Henrion, R. D. Shachter, L. N. Kanal, and J. F. Lemmer (Eds.)
Uncertainty in Artificial Intelligence 5. Amsterdam: North
Holland, 1990.
-
Todd R. Davies and Stuart Russell ``A Logical Approach to Reasoning
by Analogy.''
In T. Dietterich (Ed.) Readings in Machine Learning.
San Mateo, CA: Morgan Kaufmann, 1990.
-
Stuart Russell and Devika Subramanian ``On Provably RALPHs.''
In E. Baum (Ed.) Computational Learning and Cognition:
Proceedings of the Third NEC Research Symposium. SIAM Press, 1993.
-
Saso Dzeroski, Stephen Muggleton and Stuart Russell
``PAC-Learnability of Constrained, Nonrecursive Logic Programs.''
In T. Petsche, S. Hanson, and J. Shavlik (Eds.), Computational
Learning Theory and Natural Learning Systems, Volume III: Selecting Good
Models, MIT Press, 1995.
-
Shlomo Zilberstein and Stuart Russell, ``Approximate reasoning using
anytime algorithms.'' In S. Natarajan (Ed.)
Imprecise and Approximate Computation,
Kluwer Academic Publishers, Dordrecht, 1995.
-
Stuart Russell, ``Machine Learning.'' Chapter 4 of M. A. Boden (Ed.), Artificial Intelligence, Academic Press, 1996.
Part of the Handbook of Perception and Cognition.
-
Michael Jordan and Stuart Russell,
``Computational Intelligence.''
In The MIT Encyclopedia of
the Cognitive Sciences, MIT Press, 1999.
-
Stuart Russell,
``Metareasoning.''
In The MIT Encyclopedia of
the Cognitive Sciences, MIT Press, 1999.
- Kevin Murphy and Stuart Russell,
``Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks.''
In Sequential Monte Carlo Methods in Practice,
A. Doucet, N. de Freitas and N.J. Gordon (eds), Springer-Verlag, 2001.
- Stuart Russell,
``Rationality and Intelligence.''
In Renee Elio (Ed.), Common sense, reasoning, and rationality,
Oxford University Press, 2002.
- Judea Pearl and Stuart Russell,
``Bayesian Networks.''
In Michael A. Arbib, Ed., The Handbook of Brain Theory and Neural Networks, 2nd edition, MIT Press, 2003.
Technical reports, non-refereed conference papers
-
Stuart Russell The Compleat Guide to MRS.
Stanford University Computer Science Department Report No. STAN-CS-85-1080;
June 1985 126pp. Also published as Stanford Knowledge Systems
Laboratory Report No. KSL-85-12.
-
Todd R. Davies and Stuart Russell A Logical Approach to Reasoning
by Analogy.
SRI AI Center Technical Note 385; 1986.
-
Stuart Russell Analogical and Inductive Reasoning.
Ph. D. Thesis, Stanford University Department of Computer Science,
December 1986. Also appeared as Stanford University Computer Science
Department Technical Report STAN-CS-87-1150.
-
Stuart Russell and Eric Wefald, Decision-Theoretic Search Control:
General Theory and an Application to Game-Playing, Computer Science
Division Technical Report 88/435, University of California, Berkeley,
CA, 1988.
-
Alice Agogino, Ramanathan Guha and Stuart Russell
``Sensor Fusion using Influence Diagrams and Reasoning by Analogy:
Application to Milling Machine Monitoring and Control.''
Working paper 88-0304-P, Department of Mechanical Engineering,
University of California, Berkeley, CA, 1988.
-
Stuart Russell and Benjamin Grosof ``A Sketch of Autonomous Learning
using Declarative Bias.''
Research report no. RC 14613 (#64812), IBM Research Division, 1989.
-
Benjamin Grosof and Stuart Russell ``Shift of Bias as Nonmonotonic
Reasoning.''
Research report no. RC 14614 (#65293), IBM Research Division, 1989.
-
Benjamin Grosof and Stuart Russell
``Declarative Bias for Structural Domains.''
Research report no. RC 14620 (#64608), IBM Research Division, 1989.
-
Ann Nicholson and Stuart Russell,
``Techniques for Handling Inference Complexity in Dynamic Belief Networks.''
Technical report no. CS-93-31, Computer Science Department, Brown University, 1993.
-
Stuart Russell, John Binder, and Daphne Koller,
``Adaptive probabilistic networks.''
Technical report UCB//CSD-94-824, July 24, 1994.
-
Jeff Forbes, Tim Huang, Keiji Kanazawa, and Stuart Russell,
``The BATmobile: Towards a Bayesian Automated Taxi.''
In SAE Future Transportation Technology Conference,
Costa Mesa, CA, August, 1995.
-
Jitendra Malik, Stuart Russell.
``Traffic Surveillance and Detection Technology Development:
New Traffic Sensor Technology Final Report.''
California PATH Research Report UCB-ITS-PRR-97-6, Institute of Transportation
Studies, University of California, Berkeley. January 1997.
-
Simon Kasif and Stuart Russell (Eds.),
Proceedings of the AAAI Fall Symposium on Learning Complex
Behaviours, Cambridge, Massachusetts: AAAI Press.
-
Jeffrey Forbes, Nikunj Oza, Ronald Parr, and Stuart Russell.
``Feasibility Study of Fully Automated Traffic Using
Decision-Theoretic Control.''
California PATH Research Report UCB-ITS-PRR-97-18, Institute of Transportation
Studies, University of California, Berkeley. April 1997.
-
Geoffrey Zweig and Stuart Russell.
``Compositional Modeling with DPNs.''
Technical Report No. UCB-CSD-97-970, Computer Science Division,
University of California, Berkeley. December 1997.
-
Vassilis Papavassiliou and Stuart Russell,
``Value Determination with General Function Approximators.''
Technical Report CSD-98-1005, Computer Science Division, UC Berkeley, 1998.
- David Andre and Stuart Russell,
``State Abstraction
for Programmable Reinforcement Learning Agents.''
Technical Report CSD-01-1156, Computer Science Division, UC Berkeley, 2001.
- Songhwai Oh, Stuart Russell, and Shankar Sastry, ``Markov Chain Monte Carlo
Data Association for Multiple-Target Tracking,'' University of California,
Berkeley, Technical Report UCB//ERL M05/19, June 2005.
Principal External Grants and Awards
- AT&T Foundation Special Equipment Grant, $51,000, 1987:
Analogical and inductive reasoning.
- Lockheed Independent Research grant, $75,000, 1988:
Analogical and inductive reasoning.
- California MICRO Program, $64,000, 1987:
Analogical and inductive reasoning.
- ESL Independent Research grant, $30,000, 1988:
Large commonsense knowledge bases.
- California MICRO Program, $21,750, 1988:
Large commonsense knowledge bases.
- National Science Foundation, $3,800,000, 1988--93:
Institutional Infrastructure (Co-PI).
- National Science Foundation, $300,000, 1989--92:
Real-time decision-making.
- Digital Equipment Corporation External Research Grant, $165,604, 1989<:
Large commonsense knowledge bases.
- NSF Presidential Young Investigator Award, up to $500,000, 1990--95.:
Research in artificial intelligence.
- Advanced Decision Systems Inc., software grant, $25,000, 1991:
Probabilistic inference systems.
- National Science Foundation, $32,000, 1991--92:
Solving chess with probabilistic inference.
- Institute for Transportation Studies, $548,000, 1992--96:
A computer vision-based monitoring system for California roads (J. Malik co-PI).
- National Science Foundation, $330,000, 1993--96:
Real-time decision-making.
- Siemens Corporation, $37,500, 1993:
PYI matching grant.
- National Science Foundation, $60,000, 1993--95:
Postdoctoral Fellowship for G. Ogasawara.
- California Dept. of Transportation, $185,000, 1993--95:
Decision-Theoretic Control of Autonomous Vehicles.
- US Dept. of Transportation, $100,000, 1994--95:
AI for IVHS (M. Wellman co-PI).
- JPL, $339,000, 1995--96:
Vision-based freeway monitoring (J. Malik co-PI).
- California Dept. of Transportation, $454,000, 1997--99:
Vision-based travel time estimation (with P. Varaiya and others).
- Army Research Office, $5,000,000, 1996--01:
Integrated Approach to Intelligent Systems (with S. Sastry and others).
- National Science Foundation, $360,000, 1997--00:
Adaptive Probabilistic Networks.
- Office of Naval Research, $480,000, 1997--00:
Autonomous vehicle control.
- National Science Foundation, $1,200,000, 1998--01:
Complex Motor Learning.
- National Science Foundation, $1,700,000, 1998--01:
Estimation and Control of Large-Scale Stochastic Systems (with P. Bickel, J. Malik, and others).
- Office of Naval Research, $5,000,000, 2000--05:
Decision making under uncertainty (with M. Jordan and others).
- Office of Naval Research, $5,000,000, 2001--06:
A Probabilistic Framework for Recognizing Human Activity from
Multiple Video Streams (with J. Malik and others).
- Army Research Office, $5,000,000, 2002--07:
Adaptive Coordinated Control of Intelligent Multi-Agent Teams
(with S. Sastry and others)
- National Institutes of Health, $1,000,000, 2002--4:
Planning Grant in Computational Biology (with R. Karp and others)
- DARPA Information Processing Technology Office, $3,548,000,
2004--9:
Logical Filtering
- DARPA Information Processing Technology Office, $1,550,000,
2004--7:
Knowing How: Learning Complex Structured Behaviors
- DARPA Information Processing Technology Office (subcontract to SRI), $1,520,000,
2003--8:
A Cognitive Agent that Learns
- DARPA Information Processing Technology Office, $10,600,000,
2005--8:
Effective Bayesian Transfer Learning
Theses supervised
Ph.D. Theses
-
desJardins, Marie PAGODA: A Model for Autonomous Learning
in Probabilistic Domains.
PhD thesis, Computer Science Division, University of
California, Berkeley, CA, 1992.
-
Zilberstein, Shlomo Operational Rationality Through Compilation of Anytime
Algorithms.
PhD thesis, Computer Science Division, University of
California, Berkeley, CA, 1993.
-
Ogasawara, Gary RALPH-MEA: A Real-Time, Decision-Theoretic
Agent Architecture.
PhD thesis, Computer Science Division, University of
California, Berkeley, CA, 1994.
-
Musick, Charles Ronald Belief network induction.
PhD thesis, Computer Science Division, University of
California, Berkeley, CA, 1994.
-
Mayer, Andrew Rational Search.
PhD thesis, Computer Science Division, University of
California, Berkeley, CA, 1994.
-
Tash, Jonathan Decision Theory Made Tractable: The Value of
Deliberation, with Applications to Markov Decision Process Planning.
PhD thesis, Computer Science Division, University of California,
Berkeley, CA, 1996.
-
Zweig, Geoff, Speech recognition using dynamic Bayesian networks.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 1998.
-
Parr, Ronald, Solution methods for large Markov decision processes.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 1998.
-
Hansson, Othar, Bayesian Problem-Solving Applied to Scheduling.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 1998.
-
Huang, Timothy, Probabilistic Methods for Intelligent
Transportation Systems.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 1999.
- Oza, Nikunj, Online Ensemble Learning.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2001.
- Forbes, Jeffrey, Learning Optimal Control for Autonomous Vehicles.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2002.
- Murphy, Kevin, Dynamic Bayesian Networks: Representation,
Inference, and Learning.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2002.
- Andre, David, State Abstraction for Programmable Reinforcement
Learning Agents.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2003.
- Pasula, Hanna, Identity Uncertainty.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2003.
- Papavassiliou, Vassilis, Value Determination with Function Approximation.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2003.
- Paskin, Mark, Exploiting Locality in Probabilistic Inference.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2004.
- Xing, Eric, Probabilistic Graphical Models and Algorithms for
Genomic Analysis.
PhD thesis, Computer Science Division,
University of California, Berkeley, CA, 2004.
MS Theses
-
Dutta, Soumitra Inductive Learning of Rules of Determination. MS
report, Computer Science Division, University of California, Berkeley, CA,
1987.
-
Guha, Ramanathan Induction and Analogy in Engineering Expert Systems.
MS report, Mechanical Engineering Department, University of
California, Berkeley, CA, 1987.
-
Barbour, Brenda Experiments on Indexing Schemes for Logic Programming.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1987.
-
Sampath Srinivas Creating Influence Diagrams from Examples.
MS report, Mechanical Engineering Department, University of
California, Berkeley, CA, 1988.
-
Wefald, Eric The Expected Value of Search: A
Decision-Theoretic Framework for Game-Playing Algorithms.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1988.
-
Malone, Christopher Planning, Execution and Knowledge Compilation in
Real-Time Agents.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1988.
-
Getoor, Lise Learning efficiently using declarative bias.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1989.
-
Ogasawara, Gary A Distributed Decision-Theoretic Control System
for a Mobile Robot.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1989.
-
Koenig, Sven Optimal Probabilistic and Decision-Theoretic Planning using
Markovian Decision Theory.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1991.
-
Sarkar, Sudeshna Constructive Induction for Situated Agents.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1991.
-
Conroy, Jeffrey Decision-Theoretic Control of Search in Probabilistic
Domains.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1991.
-
Marx, Sonia Using tree-structured bias in training neural networks.
MS report, Computer Science Division, University of
California, Berkeley, CA, 1991.
-
Glesner, Sabine Constructing flexible dynamic belief networks from first-order probabilistic knowledge bases.
MS thesis, Computer Science Division, University of
California, Berkeley, CA, 1994.
-
Zweig, Geoff, A comparison between dynamic belief networks and
hidden Markov models. MS thesis, Computer Science Division,
University of California, Berkeley, CA, 1996.
-
Braverman, Michael, Caste; A Class System for Tcl.
MS thesis, Computer Science Division,
University of California, Berkeley, CA, 1997.
-
Oza, Nikunj, Probabilistic Models of Driver Behavior.
MS thesis, Computer Science Division,
University of California, Berkeley, CA, 1998.
-
Zimdars, Andrew, Additive Value Function Decomposition for Reinforcement Learning Agents.
MS thesis, Computer Science Division,
University of California, Berkeley, CA, 2004.
-
Pearson, Mark, Utility-Directed Sampling in Influence Diagrams.
MS thesis, Computer Science Division,
University of California, Berkeley, CA, 2006.
Consulting, short courses
Consultant, Ciphergen Inc., Bioinformatics, 2001-2005
Consultant, Ikuni Inc., AI for Computer Games, 2001-present
Short Course, Universita di Roma ``La Sapienza,'' Probabilistic Methods in AI, 1999
Consultant, Chiron Corporation, Probabilistic inference in drug design, 1996
Principal, Consumer Financial Service Corporation, Advanced data analysis techniques, 1995-present
Consultant, AT&T Bell Laboratories, Relating complexity theory to artificial intelligence, 1993
Consultant, NEC, Search and game-playing algorithms, 1992
Consultant, Shell International Trading Company, AI techniques for global oil market modelling, 1992
Short Course, Oxford University, Advanced Methods in Artificial Intelligence, 1991
Consultant, MCC, Austin, TX , Representation and inference in the Large Scale KB Project (CYC), 1986--89
Consultant, Reasoning Systems Inc., Palo Alto, VHLL compilers and program transformation methods, 1985
Employment history
2006--present, Chair, U. C. Berkeley CS Division
1996--present, Professor, U. C. Berkeley CS Division
1991--96, Associate Professor, U. C. Berkeley CS Division
1986--91, Assistant Professor, U. C. Berkeley CS Division
1986, Summer employee, MCC, Austin, Texas, Machine learning research in the Large Scale KB Project (CYC)
1985--86, Research Assistant, Computer Science Dept., Stanford University
1983, Teaching Assistant, Computer Science Dept., Stanford University
1981, Programmer, graphics research project, IBM L.A. Scientific Center
1978--80 (1 year total), Programmer, IBM Systems Engineering Centre, Warwick, UK