Optimizing Data Collection in Deep Reinforcement Learning

James Gleeson, Daniel Snider, Yvonne Yang +3

Reinforcement learning (RL) workloads take a notoriously long time to train due to the large number of samples collected at run-time from simulators. Unfortunately, cluster scale-u…