Shivaram's Reading List


Function Approximation     Partial Observability     Learning Methods     Ensembles    
Stochastic Optimisation     General RL     General ML     Multiagent Learning    
Comparison/Integration     Bandits     Applications     Robot Soccer    
Humanoids     Parameter     MDP     Empirical    
Failure Warning     Representation     General AI     Neural Networks    
All    

Representation

Learning Representation and Control in Markov Decision Processes: New Frontiers
Sridhar Mahadevan, 2009
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Large Scale Reinforcement Learning using Q-Sarsa($łambda$) and Cascading Neural Networks
Steffen Nissen, 2007
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Distinctive Image Features from Scale-Invariant Keypoints
David G. Lowe, 2004
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Hierarchical Reinforcement Learning with the MAXQ Value Function Decomposition
Thomas G. Dietterich, 2000
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Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning
Richard S. Sutton, Doina Precup, and Satinder P. Singh, 1999
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Learning hierarchical control structures for multiple tasks and changing environments
Bruce L. Digney, 1998
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Hierarchical Control and Learning for Markov Decision Processes
Ronald Edward Parr, 1998
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Inductive Biases in a Reinforcement Learner
Helen G. Cobb, 1992
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Intelligence without Representation
Rodney A. Brooks, 1991
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