Poke-env is a Python library that functions as an RL environment for training autonomous agents. It provides the infrastructure to build scripted agents, run self-play experiments, and develop reinforcement learning workflows on the Pokemon Showdown battle platform. The project serves as a simulation environment similar to gym, enabling researchers and developers to train and evaluate AI agents in a competitive game setting.