Behavior Regularized Offline Reinforcement Learning

26 Nov 2019 Yifan Wu George Tucker Ofir Nachum

In reinforcement learning (RL) research, it is common to assume access to direct online interactions with the environment. However in many real-world applications, access to the environment is limited to a fixed offline dataset of logged experience... (read more)

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