Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces.

CoRR, (2014)

Cited by: 33|Views98
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Abstract:

In this paper, we set forth a new vision of reinforcement learning developed by us over the past few years, one that yields mathematically rigorous solutions to longstanding important questions that have remained unresolved: (i) how to design reliable, convergent, and robust reinforcement learning algorithms (ii) how to guarantee that r...More

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