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