MBMF: Model-Based Priors for Model-Free Reinforcement Learning

10 Sep 2017Somil BansalRoberto CalandraKurtland ChuaSergey LevineClaire Tomlin

Reinforcement Learning is divided in two main paradigms: model-free and model-based. Each of these two paradigms has strengths and limitations, and has been successfully applied to real world domains that are appropriate to its corresponding strengths... (read more)

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