Adaptive Trade-Offs in Off-Policy Learning

Rowland Mark
Rowland Mark

AISTATS, pp. 34-44, 2019.

Cited by: 4|Bibtex|Views19|Links
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Abstract:

A great variety of off-policy learning algorithms exist in the literature, and new breakthroughs in this area continue to be made, improving theoretical understanding and yielding state-of-the-art reinforcement learning algorithms. In this paper, we take a unifying view of this space of algorithms, and consider their trade-offs of three...More

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