SheepRL is a Python framework for training reinforcement learning agents at scale using distributed computing. It leverages Lightning Fabric to enable multi-GPU and multi-node training of RL algorithms, supporting environments like Atari games and Crafter. The library provides implementations of RL algorithms with benchmark results demonstrating competitive performance.