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Annual Meeting 2003 - Abstracts

Andrew Ng

Assistant Professor of Computer Science
Gates Bldg., Rm. 156
650.725.2593
ang@cs.stanford.edu
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Reinforcement learning, safety and robustness, and autonomous helicopter flight
Reinforcement learning gives a set of tools for automatically making sequential decisions under uncertainty. For example, given a helicopter, can we automatically learn how to fly it? Closely related are also the issues of safety and robustness: For safety-critical applications, can we further provide rigorous performance guarantees for our learnings algorithms? In this talk, I outline a number of recent developments in the theory and practice of policy search approaches to reinforecement learning, including our successful application of these ideas to autonomous flight.

Biography
Andrew Ng is an assistant professor in the Computer Science Department. His research interests include machine learning and pattern recognition, reinforcement learning and adaptive control, and algorithms for text and web data processing.


2003 Schedule


Stanford Robotics Laboratory

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Stanford Computer Forum
Gates Bldg, 353 Serra Mall
Stanford University
Stanford, CA 94305-9025
tel. 650.723.9689
fax. 650.725.7411
forumstaff@cs.stanford.edu