#environments

Gym.NET is a C# adaptation of the OpenAI Gym, offering a framework for creating and testing reinforcement learning algorithms. It includes environments like CartPole and LunarLander, with rendering options via WinForm and Avalonia. Future plans involve adding support for more environments and improving compatibility. Installation is straightforward, making it accessible for reinforcement learning exploration in .NET.

Gymnasium provides a consistent API for reinforcement learning, building on OpenAI's Gym by offering diverse environments like Classic Control and Atari. Explore flexible installations and related libraries like CleanRL for comprehensive learning toolkits.