Why Robbie Can't Learn: The Difficulty of Learning in Autonomous Agents
Leslie Pack Kaelbling, Panasonic Professor of Electrical Engineering and Computer Science, MIT
Description: 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. This talk 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. These speculations are backed up by recent results demonstrating that a small amount of human"provided input can dramatically speed learning in a real mobile robot.
Host(s): School of Engineering, Electrical Engineering and Computer Science
It looks like no one has posted a comment yet. You can be the first!
You need to log in, in order to post comments.
More from MIT World — special events and lectures
Added over 4 years ago | 01:13:00 | 3474 views
Added over 4 years ago | 01:57:00 | 4725 views
Added over 4 years ago | 01:04:00 | 8190 views
Added over 4 years ago | 00:58:30 | 10491 views
Added over 4 years ago | 00:59:34 | 3994 views
Added over 4 years ago | 01:28:00 | 3674 views