The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

Ahmet Inci, Evgeny Bolotin, Yaosheng Fu +4

With deep reinforcement learning (RL) methods achieving results that exceed human capabilities in games, robotics, and simulated environments, continued scaling of RL training is c…