Multiprocessed Experience Replay Pool for Reinforcement Learning

The Pool class is designed for efficient, parallelized data collection from multiple environments, particularly useful in reinforcement learning settings. It leverages Python's multiprocessing module to manage shared memory and execute environment interactions concurrently.

https://github.com/NoteDance/Pool