The RWARE environment provides a simulation platform for training multi-agent reinforcement learning systems in a warehouse setting. Robots navigate the environment to pick and deliver goods while avoiding collisions. It implements the Gymnasium interface for RL training workflows and supports custom layouts, human play, and benchmarking multi-agent algorithms.