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ATAL
2008
Springer
13 years 6 months ago
The utility of temporal abstraction in reinforcement learning
Nicholas K. Jong, Todd Hester, Peter Stone
ICML
2004
IEEE
14 years 5 months ago
Using relative novelty to identify useful temporal abstractions in reinforcement learning
lative Novelty to Identify Useful Temporal Abstractions in Reinforcement Learning ?Ozg?ur S?im?sek ozgur@cs.umass.edu Andrew G. Barto barto@cs.umass.edu Department of Computer Scie...
Özgür Simsek, Andrew G. Barto
IJCAI
2007
13 years 6 months ago
Utile Distinctions for Relational Reinforcement Learning
We introduce an approach to autonomously creating state space abstractions for an online reinforcement learning agent using a relational representation. Our approach uses a tree-b...
William Dabney, Amy McGovern
ECML
1998
Springer
13 years 8 months ago
Theoretical Results on Reinforcement Learning with Temporally Abstract Options
Doina Precup, Richard S. Sutton, Satinder P. Singh