TorchRL

TorchRL is an open-source, PyTorch-native library for Reinforcement Learning (RL). It provides modular, primitive-first abstractions for building efficient and flexible RL solutions, focusing on research and rapid prototyping. The library offers components for environments, data collection, replay buffers, policy and value networks, and loss functions, all designed to integrate seamlessly with the PyTorch ecosystem. It is currently at version 0.11.1 and follows a regular release cadence, often synced with PyTorch releases.