gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control (by utiasDSL)
rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included. (by DLR-RM)
| gym-pybullet-drones | rl-baselines3-zoo | |
|---|---|---|
| 4 | 11 | |
| 1,089 | 1,786 | |
| 2.8% | 3.1% | |
| 8.4 | 6.2 | |
| 11 days ago | 5 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gym-pybullet-drones
Posts with mentions or reviews of gym-pybullet-drones.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-26.
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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
rl-baselines3-zoo
Posts with mentions or reviews of rl-baselines3-zoo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-26.
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Can't solve MountainCar-v0 with A2C algorithm (stable-baselines3)
I'm trying to solve MountainCar-v0 enviroment from gymnasium with the A2C algorithm and the agent doesn't find a solution. I checked this so I added import stable_baselines3.common.sb2_compat.rmsprop_tf_like as RMSpropTFLike. Also checked the rl-baselines3-zoo for the hyperparameter tuning. So my code is:
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Stable-Baselines3 v2.0: Gymnasium Support
RL Zoo3 (training framework): https://github.com/DLR-RM/rl-baselines3-zoo
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Tips and Tricks for RL from Experimental Data using Stable Baselines3 Zoo
I'm still new to the domain but wanted to shared some experimental data I've gathered from massive amount of experimentation. I don't have a strong understanding of the theory as I'm more of a software engineer than data scientist, but perhaps this will help other implementers. These notes are based on Stable Baselines 3 and RL Baselines3 Zoo with using PPO+LSTM (should apply generally to all the algos for the most part)
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Simple continuous environment with spaceship but yet challenging for RL algorithms (like SAC, TD3)
Try hyperparameter search. It's implemented here: https://github.com/DLR-RM/rl-baselines3-zoo for stable-baselines3. Hyperparameters make a huge difference in RL, much more than in supervised learning.
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Easily load and upload Stable-baselines3 models from the Hugging Face Hub 🤗
Integrating RL-baselines3-zoo
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Help comparing Double DQN against another paper's results
Hello, I've been running some tests of Double DQN with Stable Baselines 3 Zoo and to compare I'm using the graphs provided by Noisy Networks For Exploration.
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DDPG not solving MountainCarContinuous
- you can find tuned hyperparameters for DDPG, SAC, PPO in https://github.com/DLR-RM/rl-baselines3-zoo
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Hyperparameter tuning examples
For more complete implementation: https://github.com/DLR-RM/rl-baselines3-zoo
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How do I convert zoo / gym trained models to TensorFlow Lite or PyTorch TorchScript?
https://github.com/DLR-RM/rl-baselines3-zoo (PyTorch based, using https://github.com/DLR-RM/stable-baselines3)
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[P] Stable-Baselines3 v1.0 - Reliable implementations of RL algorithms
We also release 100+ trained models in our experimental framework, the rl zoo: https://github.com/DLR-RM/rl-baselines3-zoo
What are some alternatives?
When comparing gym-pybullet-drones and rl-baselines3-zoo you can also consider the following projects:
robot-gym - RL applied to robotics.
optuna - A hyperparameter optimization framework
pybullet-gym - Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.
stable-baselines - A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
on-policy - This is the official implementation of Multi-Agent PPO (MAPPO).
rl-baselines-zoo - A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
isaac_ros_apriltag - Hardware-accelerated Apriltag detection and pose estimation.
flightmare - An Open Flexible Quadrotor Simulator
rl-trained-agents - A collection of pre-trained RL agents using Stable Baselines3
gym-pybullet-drones vs robot-gym
rl-baselines3-zoo vs optuna
gym-pybullet-drones vs pybullet-gym
rl-baselines3-zoo vs stable-baselines
gym-pybullet-drones vs Bullet
rl-baselines3-zoo vs stable-baselines3
gym-pybullet-drones vs on-policy
rl-baselines3-zoo vs rl-baselines-zoo
gym-pybullet-drones vs isaac_ros_apriltag
rl-baselines3-zoo vs pybullet-gym
gym-pybullet-drones vs flightmare
rl-baselines3-zoo vs rl-trained-agents