From c0aa3d80f6a425560b0a95ceaa4c48d62859be3c Mon Sep 17 00:00:00 2001 From: Stavros Orfanoudakis Date: Wed, 17 Apr 2024 16:00:41 +0200 Subject: [PATCH] Update third_party_environments.md with EV2Gym (#1028) --- docs/environments/third_party_environments.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/docs/environments/third_party_environments.md b/docs/environments/third_party_environments.md index f2f16aaf9..c346ba27f 100644 --- a/docs/environments/third_party_environments.md +++ b/docs/environments/third_party_environments.md @@ -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).