hubbs5/or-gym
A Python library providing OpenAI Gym-compatible environments for training reinforcement learning agents on operations research problems.
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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.
Frequently asked
- What is hubbs5/or-gym?
- A Python library providing OpenAI Gym-compatible environments for training reinforcement learning agents on operations research problems.
- Is or-gym open source?
- Yes — hubbs5/or-gym is open source, released under the MIT license.
- What language is or-gym written in?
- hubbs5/or-gym is primarily written in Python.
- How popular is or-gym?
- hubbs5/or-gym has 448 stars on GitHub.
- Where can I find or-gym?
- hubbs5/or-gym is on GitHub at https://github.com/hubbs5/or-gym.