RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem

Neural Information Processing Systems 

We propose RLlib Flow, a hybrid actor-dataflow programming model for distributed RL, and validate its practicality by porting the full suite of algorithms in RLlib, a widely adopted distributed RL library.

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