This library wraps classic operations research problems including knapsack, bin packing, newsvendor, and vehicle routing into gym environments that RL agents can interact with. It enables researchers to benchmark reinforcement learning policies against traditional OR techniques like mixed-integer programming. Environments adhere to the OpenAI Gym API and integrate with Ray for distributed RL training.