Eigenoption Discovery through the Deep Successor Representation

international conference on learning representations, 2018.

Cited by: 48|Bibtex|Views33
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Options in reinforcement learning allow agents to hierarchically decompose a task into subtasks, having the potential to speed up learning and planning. However, autonomously learning effective sets of options is still a major challenge in the field. In this paper we focus on the recently introduced idea of using representation learning m...More

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