Search on the Replay Buffer: Bridging Planning and Reinforcement Learning

NeurIPS 2019 Ben EysenbachRuss R. SalakhutdinovSergey Levine

The history of learning for control has been an exciting back and forth between two broad classes of algorithms: planning and reinforcement learning. Planning algorithms effectively reason over long horizons, but assume access to a local policy and distance metric over collision-free paths... (read more)

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