no code implementations • 7 Dec 2023 • Jacky Kwok, Marten Lohstroh, Edward A. Lee
Parallel Reinforcement Learning (RL) frameworks are essential for mapping RL workloads to multiple computational resources, allowing for faster generation of samples, estimation of values, and policy improvement.