Action Robust Reinforcement Learning and Applications in Continuous Control

26 Jan 2019Chen TesslerYonathan EfroniShie Mannor

A policy is said to be robust if it maximizes the reward while considering a bad, or even adversarial, model. In this work we formalize two new criteria of robustness to action uncertainty... (read more)

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