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ATAL
2008
Springer
15 years 1 months ago
The utility of temporal abstraction in reinforcement learning
Nicholas K. Jong, Todd Hester, Peter Stone
ICML
2004
IEEE
16 years 13 days 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
81
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IJCAI
2007
15 years 1 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
15 years 3 months ago
Theoretical Results on Reinforcement Learning with Temporally Abstract Options
Doina Precup, Richard S. Sutton, Satinder P. Singh