Accelerating Distributed Deep Reinforcement Learning by In-Network Experience Sampling

Masaki Furukawa, Hiroki Matsutani

A computing cluster that interconnects multiple compute nodes is used to accelerate distributed reinforcement learning based on DQN (Deep Q-Network). In distributed reinforcement l…