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Add Buffalo-gym to external environments #1039

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Apr 29, 2024
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Add Buffalo-gym to external environments #1039

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Update third_party_environments.md
foreverska Apr 28, 2024
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foreverska Apr 29, 2024
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6 changes: 6 additions & 0 deletions docs/environments/third_party_environments.md
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Expand Up @@ -168,6 +168,12 @@ tmrl is a distributed framework for training Deep Reinforcement Learning AIs in

EV2Gym is a fully customizable and easily configurable environment for Electric Vehicle (EV) smart charging simulations on a small and large scale. Also, includes non-RL baseline implementations such as mathematical programming, model predictive control, and heuristics.

### [Buffalo-Gym: Multi-Armed Bandit Gymnasium](https://github.com/foreverska/buffalo-gym)

![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.29.1-blue)
![GitHub stars](https://img.shields.io/github/stars/foreverska/buffalo-gym)

Buffalo-Gym is a Multi-Armed Bandit (MAB) gymnasium built primarily to assist in debugging RL implementations. MABs are often easy to reason about what the agent is learning and whether it is correct. Buffalo-gym encompasses Bandits, Contextual bandits, and contextual bandits with aliasing.
## Third-Party Environments using Gym

There are a large number of third-party environments using various versions of [Gym](https://github.com/openai/gym).
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