Reinforcement Learning Papers by CMU People
(Way Out of Date!)
Justin Boyan,
Modular Neural Networks for Learning Context-Dependent Game Strategies
, August 1992 (37 pages)
Justin Boyan and Michael Littman,
Packet routing in dynamically changing networks: A reinforcement learning approach
, January 1994 (8 pages)
Justin Boyan and Andrew Moore,
Generalization in Reinforcement Learning: Safely Approximating the Value Function
, January 1995 (8 pages)
Lonnie Chrisman,
Reinforcement Learning with Perceptual Aliasing: The Predictive Distinctions Approach
, AAAI 1992 (6 pages)
Geoff Gordon,
Online Fitted Reinforcement Learning
, VFA workshop at ML-95 (3 pages)
Geoff Gordon,
Stable Function Approximation in Dynamic Programming
, ML-95 (8 pages)
Leslie Kaelbling, Michael Littman and Andrew Moore,
Reinforcement Learning: A Survey.
JAIR, 1996.
Sven Koenig and Reid Simmons,
Complexity analysis of reinforcement learning as applied to finding shortest paths in deterministic domains
, December 1992 (99 pages)
Tom Mitchell and Sebastian Thrun,
Explanation-based neural network learning for robot control
, NIPS*5, 1993 (8 pages)
Joseph O'Sullivan,
Towards a Robot Learning Architecture
, June 1993 (5 pages)
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