A causal approach to hierarchical decomposition in reinforcement learning
Reinforcement learning provides a means for autonomous agents to improve their action selection strategies without the need for explicit training information provided by an informed instructor. Theoretical and empirical results indicate that reinforcement learning algorithms can efficiently determin...
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| Language: | EN |
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ScholarWorks@UMass Amherst
2006
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| Online Access: | https://scholarworks.umass.edu/dissertations/AAI3212735 |