MSRL: Distributed Reinforcement Learning with Dataflow Fragments

no code implementations • 3 Oct 2022 • Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter Pietzuch, Lei Chen

Yet, current distributed RL systems tie the definition of RL algorithms to their distributed execution: they hard-code particular distribution strategies and only accelerate specific parts of the computation (e. g. policy network updates) on GPU workers.

reinforcement-learning Reinforcement Learning (RL)