Introduction -- PufferLib v0.1.2 0.1.2 documentation

You have an environment, a PyTorch model, and an RL framework that are designed to work together but don't. PufferLib is a wrapper layer that provide better compatibility between Gym / PettingZoo environments and standard reinforcement learning frameworks. You write a native PyTorch network and a short binding for your environment; PufferLib takes care of the rest. We plan to add additional bindings in the future. These mainly provide a wrapper utility that creates a framework-compliant network from a raw PyTorch model.