OpenAI Gym

The open-source Python toolkit establishing the standard API for developing and comparing reinforcement learning (RL) algorithms.

OpenAI Gym is the foundational, open-source Python library for RL research: it provides a standardized API for communication between your learning algorithm and a diverse suite of environments. This toolkit offers a wide range of challenges, from classic control problems like CartPole-v1 to complex Atari games and robotic simulations. The consistent interface allows developers to easily test, benchmark, and reproduce results for new RL methods against a common set of tasks. Note: Gym provides the environment; the developer must implement the learning agent, often using frameworks like TensorFlow or PyTorch.

https://www.gymlibrary.dev/