Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling

no code implementations • 26 Oct 2021 • Masaki Furukawa, Hiroki Matsutani

In distributed reinforcement learning, Actor nodes acquire experiences by interacting with a given environment and a Learner node optimizes their DQN model.

reinforcement-learning Reinforcement Learning (RL)