Asynchronous Policy Gradient Aggregation for Efficient Distributed Reinforcement Learning

Alexander Tyurin, Andrei Spiridonov, Varvara Rudenko

We study distributed reinforcement learning (RL) with policy gradient methods under asynchronous and parallel computations and communications. While non-distributed methods are wel…