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Update third_party_environments.md with EV2Gym #1028

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Apr 17, 2024
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Update third_party_environments.md with EV2Gym #1028

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Update third_party_environments.md with EV2Gym
StavrosOrf Apr 17, 2024
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Update third_party_environments.md
StavrosOrf Apr 17, 2024
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7 changes: 7 additions & 0 deletions docs/environments/third_party_environments.md
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Expand Up @@ -162,6 +162,13 @@ Gymnasium wrapper for various environments in the SUMO traffic simulator. Suppor

tmrl is a distributed framework for training Deep Reinforcement Learning AIs in real-time applications. It is demonstrated on the TrackMania 2020 video game.

### [EV2Gym: A Realistic EV-V2G-Gym Simulator for EV Smart Charging](https://github.com/StavrosOrf/EV2Gym)

![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.27.1-blue)
![GitHub stars](https://img.shields.io/github/stars/StavrosOrf/EV2Gym)

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.

## 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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