Corpus ID: 21385168

Leveraging attention focus for effective reinforcement learning in complex domains

@inproceedings{Rus2013LeveragingAF,
  title={Leveraging attention focus for effective reinforcement learning in complex domains},
  author={Luis Carlos Cobo Rus},
  year={2013}
}

• Luis Carlos Cobo Rus
• Published 2013
• Computer Science, Psychology

IONS FOR REINFORCEMENT LEARNING Abstraction is one of the most common ways of scaling up reinforcement learning, along with function approximation and often overlapping with it. There is a rich and varied literature on the topic, going from state-space abstractions that clump similar states together to hierarchical approaches that define either temporally-extended actions or task subdivisions. This chapter reviews previous RL abstraction approaches so we can later position our attention focus… Expand

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