Set of OpenAI/gym robotic environments based on PyBullet physics engine.
Project description
panda-gym
Set of OpenAI/gym robotic environments based on PyBullet physics engine.
Documentation
Check out the documentation.
Installation
Using PyPI
pip install panda-gym
From source
git clone https://github.com/qgallouedec/panda-gym.git
pip install -e panda-gym
Usage
import gym
import panda_gym
env = gym.make('PandaReach-v2', render=True)
obs = env.reset()
done = False
while not done:
action = env.action_space.sample() # random action
obs, reward, done, info = env.step(action)
env.close()
You can also
Environments
PandaReach-v2 |
PandaPush-v2 |
 |
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PandaSlide-v2 |
PandaPickAndPlace-v2 |
 |
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PandaStack-v2 |
PandaFlip-v2 |
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Baselines results
Baselines results and pre-trained agents available in rl-baselines3-zoo.
Citation
Cite as
@article{gallouedec2021pandagym,
title = {{panda-gym: Open-Source Goal-Conditioned Environments for Robotic Learning}},
author = {Gallou{\'e}dec, Quentin and Cazin, Nicolas and Dellandr{\'e}a, Emmanuel and Chen, Liming},
year = 2021,
journal = {4th Robot Learning Workshop: Self-Supervised and Lifelong Learning at NeurIPS},
}
Environments are widely inspired from OpenAI Fetch environments.
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