Event: Forum for Artificial Intelligence

Speakers: Dr. Leslie Pack Kaelbling, Professor of Computer Science and Engineering, Associate director of the AI Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology

Title: "Why Robbie Can't Learn: The Difficulty of Learning in Autonomous Agents"

Date: Friday, 16 February, 2001, at 3pm in

Time: 3:00 p.m.

Place: ACES 2.302 **NB: room change**

Hosts: Ken Stanley and Tal Tversky

ABSTRACT:

In recent years, machine learning methods have enjoyed great success in a variety of applications. Unfortunately, on-line learning in autonomous agents has not generally been one of them. Reinforcement-learning methods that were developed to address problems of learning agents have been most successful in off-line applications. In this talk, I will briefly review the basic methods of reinforcement learning, point out some of their shortcomings, argue that we are expecting too much from such methods, and speculate about how to build complex, adaptive autonomous agents. I will back up the speculations with recent results demonstrating that a small amount of human-provided input can dramatically speed learning in a real mobile robot.