Description:
pandagym 3.0.7
panda-gym
Set of robotic environments based on PyBullet physics engine and gymnasium.
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 gymnasium as gym
import panda_gym
env = gym.make('PandaReach-v3', render_mode="human")
observation, info = env.reset()
for _ in range(1000):
action = env.action_space.sample() # random action
observation, reward, terminated, truncated, info = env.step(action)
if terminated or truncated:
observation, info = env.reset()
env.close()
You can also
Environments
PandaReach-v3
PandaPush-v3
PandaSlide-v3
PandaPickAndPlace-v3
PandaStack-v3
PandaFlip-v3
Baselines results
Baselines results are available in rl-baselines3-zoo and the pre-trained agents in the Hugging Face Hub.
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.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
