MAgent
gym-pybullet-drones
| MAgent | gym-pybullet-drones | |
|---|---|---|
| 2 | 4 | |
| 1,667 | 1,101 | |
| 1.3% | 3.8% | |
| 0.0 | 8.4 | |
| over 1 year ago | 9 days ago | |
| Python | Python | |
| MIT License | MIT License |
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MAgent
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[N] MAgent2 - a reinforcement learning environment engine that can allows for efficient multi-agent games with hundreds or thousands of agents- is now mature within the Farama Foundation
MAgent2 is the maintained fork of the environments in https://github.com/geek-ai/MAgent, which previously were housed in PettingZoo itself but as of a few months ago was broken off into it's own project. You can check it out here: https://magent2.farama.org/ / https://github.com/Farama-Foundation/magent2
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MAgent2 - a reinforcement learning environment engine that can allows for efficient multi-agent games with hundreds or thousands of agents- is now mature within the Farama Foundation
It's the maintained fork of the environments in https://github.com/geek-ai/MAgent, which previously were housed in PettingZoo itself but as of a few months ago were broken off into their own project
gym-pybullet-drones
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Drone Racing RL Environments
Gym-pybullet-drones (https://github.com/utiasDSL/gym-pybullet-drones)
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drone environment ?
https://github.com/utiasDSL/gym-pybullet-drones I have used this library and liked it a lot. It comes with a ready quadcopter and environment. I think at the initialization step you should be able to apply random force for throwing effect.
- How to simulate solidworks model with python?
- Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control
What are some alternatives?
MAgent2 - An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments
robot-gym - RL applied to robotics.
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
rl-baselines3-zoo - A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).
flightmare - An Open Flexible Quadrotor Simulator
isaac_ros_apriltag - Hardware-accelerated Apriltag detection and pose estimation.
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
HighwayEnv - A minimalist environment for decision-making in autonomous driving
AirSim-Drone-Racing-Lab - A framework for drone racing research, built on Microsoft AirSim.
AirSim-NeurIPS2019-Drone-Racing - Drone Racing @ NeurIPS 2019, built on Microsoft AirSim