Subgoal Discovery in Reinforcement Learning Using Local Graph Clustering

Abstract

Reinforcement Learning is an area of machine learning that studies the problem of solving sequential decision making problems. The agent must learn behavior through trial-and-error interaction with a dynamic environment. Learning efficiently in large scale problems and complex tasks demands a decomposition of the original complex task into simple and… (More)

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Cite this paper

@inproceedings{Entezari2011SubgoalDI, title={Subgoal Discovery in Reinforcement Learning Using Local Graph Clustering}, author={Negin Entezari and Mohammad Ebrahim Shiri and Parham Moradi}, year={2011} }