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https://github.com/simjaecheol/awesome-simulation
simulations for reinforcement learning
https://github.com/simjaecheol/awesome-simulation
List: awesome-simulation
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simulations for reinforcement learning
- Host: GitHub
- URL: https://github.com/simjaecheol/awesome-simulation
- Owner: simjaecheol
- License: other
- Created: 2021-11-27T08:10:24.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-02-02T07:09:20.000Z (almost 3 years ago)
- Last Synced: 2024-10-29T16:57:38.438Z (about 2 months ago)
- Size: 17.6 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
- ultimate-awesome - awesome-simulation - Simulations for reinforcement learning. (Other Lists / PowerShell Lists)
README
# Awesome Simulation [](https://github.com/sindresorhus/awesome)
A curated list of awesome simulation frameworks and projects
- [Awesome Simulation](#awesome-simulation)
- [PyBullet](#PyBullet)
- [MuJoCo](#MuJoCo)
- [Gazebo](#Gazebo)
- [Brax](#Brax)
- [NVIDIA-Omniverse](#NVIDIA-Omniverse)
- [Unreal Engine](#Unreal-Engine)
- [Unity](#Unity)
- [Reinforcement Learning Toolkit](#Reinforcement-Learning-Platform)
- [Open AI Gym](#Open-AI-Gym)
- [MLAgent](#ml-agents)
- [Renderer](#Renderer)
- [NVIDIA/nvisii](#nvisii)
- [Contributing](#contributing)
---
## [PyBullet](https://github.com/bulletphysics/bullet3)
[Github](https://github.com/bulletphysics/bullet3)
[Guide](https://docs.google.com/document/d/10sXEhzFRSnvFcl3XxNGhnD4N2SedqwdAvK3dsihxVUA/edit#heading=h.2ye70wns7io3)
License: zlib license
Languages: python 3
Physics Engine: bullet
* [pybullet-gym](https://github.com/benelot/pybullet-gym) - Open-source implementation of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform
* [pybullet_robots](https://github.com/erwincoumans/pybullet_robots) - Prototyping robots for PyBullet
* [ravens](https://github.com/google-research/ravens) - Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
* [gym-pybullet-drones](https://github.com/utiasDSL/gym-pybullet-drones) - PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
* [pybullet-planning](https://github.com/caelan/pybullet-planning) - PyBullet Planning
* [pybullet_planning](https://github.com/yijiangh/pybullet_planning) - A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.
* [pybullet-robot-envs](https://github.com/robotology-playground/pybullet-robot-envs)
* [pybullet_rendering](https://github.com/ikalevatykh/pybullet_rendering) - External rendering for PyBullet
* [quadruped_ctrl](https://github.com/Derek-TH-Wang/quadruped_ctrl) - MIT mini cheetah quadruped robot simulated in pybullet environment using ros.
* [panda-gym](https://github.com/qgallouedec/panda-gym) - OpenaAI Gym Franka Emika Panda robot environment based on PyBullet.
* [pybullet_multigoal_gym](https://github.com/IanYangChina/pybullet_multigoal_gym) - Pybullet version of the multigoal robotics environment from OpenAI Gym
## [MuJoCo](https://mujoco.org)
[Github](https://github.com/deepmind/mujoco)
[Documents](https://mujoco.readthedocs.io/en/latest/overview.html)
License: Apache License 2.0
Languages: C
Physics Engine: MuJoCo
* [dm_control](https://github.com/deepmind/dm_control) - DeepMind's software stack for physics-based simulation
* [mujoco-py](https://github.com/openai/mujoco-py) - mujoco-py allows using MuJoCo from Python 3
* [mujoco-worldgen](https://github.com/openai/mujoco-worldgen) - Automatic object XML generation for Mujoco
* [mjrl](https://github.com/aravindr93/mjrl) - Reinforcement learning algorithms for MuJoCo tasks
* [multiagent_mujoco](https://github.com/schroederdewitt/multiagent_mujoco) - Benchmark for Continuous Multi Agent Robotic Control, based on OpenAI's Mujoco Gym environments
* [metaworld](https://github.com/rlworkgroup/metaworld) - An open source robotics benchmark for meta- and multi-task reinforcement learning
* [cassie-mujoco-sim](https://github.com/osudrl/cassie-mujoco-sim) - A simulation library for Agility Robotics' Cassie robot using MuJoCo
* [MuJoCo_RL_UR5](https://github.com/PaulDanielML/MuJoCo_RL_UR5) - A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.
## [Gazebo](http://gazebosim.org/)
[Github](https://github.com/osrf/gazebo)
License: Apache License 2.0
Support Languagues: C++, Python
Physics: ODE, Bullet, Simbody and DART
* [osrf/gazebo_tutorials](https://github.com/osrf/gazebo_tutorials) - Tutorials for gazebo
* [ros-simulation/gazebo_ros_pkgs](https://github.com/ros-simulation/gazebo_ros_pkgs) - Wrappers, tools and additional API's for using ROS with Gazebo
* [osrf/gazebo_models](https://github.com/osrf/gazebo_models) - Model database
* [PX4/PX4-SITL_gazebo](https://github.com/PX4/PX4-SITL_gazebo) - Set of plugins, models and worlds to use with OSRF Gazebo Simulator in SITL and HITL.
* [robin-shaun/XTDrone](https://github.com/robin-shaun/XTDrone) - UAV Simulation Platform based on PX4, ROS and Gazebo
* [ethz-asl/rotors_simulator](https://github.com/ethz-asl/rotors_simulator) - RotorS is a UAV gazebo simulator
* [lihuang3/ur5_ROS-Gazebo](https://github.com/lihuang3/ur5_ROS-Gazebo) - Universal Robot (UR5) Pick and Place Simulation in ROS-Gazebo with a USB Cam and Vacuum Grippers
* [ignitionrobotics/ign-gazebo](https://github.com/ignitionrobotics/ign-gazebo) - Open source robotics simulator. Through Ignition Gazebo users have access to high fidelity physics, rendering, and sensor models.
* [turtlebot/turtlebot_simulator](https://github.com/turtlebot/turtlebot_simulator) - Launcers for Gazebo simulation of the TurtleBot
* [mit-racecar/racecar_gazebo](https://github.com/mit-racecar/racecar_gazebo) - A gazebo-based simulator of the MIT Racecar.
* [fkromer/awesome-gazebo](https://github.com/fkromer/awesome-gazebo) - Gazebo, the simulation framework for ROS1 and ROS2 is awesome!
## [Brax](https://arxiv.org/abs/2106.13281)
[Github](https://github.com/google/brax)
License: Apache 2.0
Support Languages: Python
## [NVIDIA-Omniverse](https://developer.nvidia.com/nvidia-omniverse-platform)
Physics: PhysicsX
* [IsaacSim](https://developer.nvidia.com/isaac-sim)
* [IsaacGym](https://developer.nvidia.com/isaac-gym)
* [IsaacGymEnvs](https://github.com/NVIDIA-Omniverse/IsaacGymEnvs)
## [Unreal Engine](https://www.unrealengine.com/en-US/)
[Github](https://github.com/EpicGames/UnrealEngine)
To access this repository, you have to get permission from epic games
[Documentation](https://docs.unrealengine.com/4.27/en-US/)
License: Unreal Engine
Support Languages: C++
Physics Engine: PhyX
* [UnrealEnginePython](https://github.com/20tab/UnrealEnginePython) - Embed Python in Unreal Engine 4
* [UnrealCV](https://github.com/unrealcv/unrealcv) - Connecting Computer Vision to Unreal Engine
* [Carla](https://github.com/carla-simulator/carla) - Open-source simulator for autonomous driving research.
## [Unity](https://unity.com/)
* [LG SVL Simulator](https://github.com/lgsvl/simulator) - A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
# Reinforcement Learning Toolkit
## [Open AI Gym](https://gym.openai.com/)
[Github](https://github.com/openai/gym) - A toolkit for developing and comparing reinforcement learning algorithms.
License: MIT License
Language: Python
## [ml-agents](https://github.com/Unity-Technologies/ml-agents)
License: Apache 2.0
Language: C#, Python
# Renderer
## [nvisii](https://nvisii.com/)
[Github](https://github.com/owl-project/NVISII) - A python-enabled ray tracing based renderer built on top of NVIDIA OptiX (C++/CUDA backend).
LICENSE: Apache 2.0
Launguage: C, C++
# Contributing
Your contributions are always welcome!