From 59a493f474023adb10530b526d429329d99033f0 Mon Sep 17 00:00:00 2001 From: Mark Stephenson Date: Thu, 26 Sep 2024 15:10:13 -0600 Subject: [PATCH] Alphabetize environment placement --- docs/environments/third_party_environments.md | 15 ++++++++------- 1 file changed, 8 insertions(+), 7 deletions(-) diff --git a/docs/environments/third_party_environments.md b/docs/environments/third_party_environments.md index 26ab3acb9..b18145976 100644 --- a/docs/environments/third_party_environments.md +++ b/docs/environments/third_party_environments.md @@ -167,6 +167,14 @@ goal-RL ([Gymnasium-Robotics](https://robotics.farama.org/)). ### Robotics environments *Autonomous Robots.* + +- [BSK-RL: Environments for Spacecraft Planning and Scheduling](https://avslab.github.io/bsk_rl/) + + ![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.28.1-blue) + ![GitHub stars](https://img.shields.io/github/stars/AVSLab/bsk_rl) + + BSK-RL is a Python package for constructing Gymnasium environments for spacecraft tasking problems. It is built on top of [Basilisk](http://hanspeterschaub.info/basilisk/), a modular and fast spacecraft simulation framework, making the simulation environments high-fidelity and computationally efficient. BSK-RL also includes a collection of utilities and examples for working with these environments + - [Connect-4-gym : An environment for practicing self playing](https://github.com/lucasBertola/Connect-4-Gym-env-Reinforcement-learning) Connect-4-Gym is an environment designed for creating AIs that learn by playing against themselves and assigning them an Elo rating. This environment can be used to train and evaluate reinforcement learning agents on the classic board game Connect Four. @@ -223,13 +231,6 @@ goal-RL ([Gymnasium-Robotics](https://robotics.farama.org/)). Highly scalable and customizable Safe Reinforcement Learning library. -- [BSK-RL: Environments for Spacecraft Planning and Scheduling](https://avslab.github.io/bsk_rl/) - - ![Gymnasium version dependency](https://img.shields.io/badge/Gymnasium-v0.28.1-blue) - ![GitHub stars](https://img.shields.io/github/stars/AVSLab/bsk_rl) - - BSK-RL is a Python package for constructing Gymnasium environments for spacecraft tasking problems. It is built on top of [Basilisk](http://hanspeterschaub.info/basilisk/), a modular and fast spacecraft simulation framework, making the simulation environments high-fidelity and computationally efficient. BSK-RL also includes a collection of utilities and examples for working with these environments - ### Telecommunication Systems environments *Interact and/or manage wireless and/or wired telecommunication systems.*