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Learning Robust Options

9 Feb 2018 • Daniel J. Mankowitz • Timothy A. Mann • Pierre-Luc Bacon • Doina Precup • Shie Mannor

Robust reinforcement learning aims to produce policies that have strong guarantees even in the face of environments/transition models whose parameters have strong uncertainty. Existing work uses value-based methods and the usual primitive action setting... (read more)

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