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Update third_party_environments.md with EV2Gym (#1028)

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Stavros Orfanoudakis
2024-04-17 16:00:41 +02:00
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docs/environments/third_party_environments.md
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@@ -161,6 +161,13 @@ 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).