Current meeting time: Friday 4:30-6:30
Current meeting place: CBIM lab
May 2: No class. American Open .
January 31: Discussion of Aibo software environment. CMU's RoboCup team description.
February 7: Generalization in reinforcement learning. Practical issues in temporal reinforcement learning , Generalization in reinforcement learning: Safely approximating the value function , Generalization in reinforcement learning: Successful examples using sparse coarse coding , Scaling reinforcement learning toward RoboCup soccer . Questions.
February 14: Partially observable environments. Acting optimally in partially observable stochastic domains , Acting under uncertainty: Discrete Bayesian models for mobile-robot navigation . Questions.
February 21: POMDP RL. Reinforcement learning with perceptual aliasing: The perceptual distinctions approach. Questions.
February 28: POMDP RL 2. Instance-based state identification for reinforcement learning . Questions.
March 7: Hierarchical learning State abstraction and discounting in hierarchical RL .
March 14: Large-scale learning Using machine learning techniques in complex multi-agent domains .
March 21: Spring break.
March 28: RL Theory. Paper by John Langford . Questions.
April 4: Continuous space Memory-based RL. Practical reinforcement learning in continuous spaces . Questions.
April 11: Continuous space Memory-based RL 2. Representations for learning control policies , Memory-based regression tutorial . Questions.
April 18: (Michael out of town).
Interested people should send me email (email@example.com) and I will create a mailing list for discussing meeting times and topics. Students wishing to receive academic credit should contact me to discuss options (independent study or light seminar 198:500).
Hope you can join us!