Panda-Gym

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panda-gym is an AI Agents & Automation tool that provides a set of robotic environments based on the PyBullet physics engine and gymnasium. It's designed for robotics simulation and reinforcement learning research.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is panda-gym?

panda-gym offers a collection of robotic environments built upon the PyBullet physics engine and integrated with gymnasium, making it an essential tool for AI developers and researchers. This open-source project facilitates the development and testing of AI models in realistic robotic scenarios. Users can easily install it via PyPI or from source, and it provides various environments like PandaReach, PandaPush, PandaPickAndPlace, and PandaStack. The tool supports reinforcement learning research by offering a robust platform for training and evaluating agents, with baselines and pre-trained agents available through external resources like rl-baselines3-zoo and Hugging Face Hub.

Best used for

Ideal for developers and data scientists who need to simulate robotic interactions, train reinforcement learning agents, and test AI models in controlled environments. Especially valuable for academic research and practical application development in robotics.

Common actions

simulate robotics

train AI models

develop reinforcement learning

test robotic control

workflowslow-code/no-codeopen-sourcecollaborationautomated workflowdeepfakeface swappinggithub copilot"AI Agents"

Capabilities

Key features

PyBullet physics engine
Gymnasium environments
Robotic simulation
Reinforcement learning research
Multiple Panda environments

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What kind of robotic environments does panda-gym offer?

panda-gym provides several robotic environments, including PandaReach-v3, PandaPush-v3, PandaSlide-v3, PandaPickAndPlace-v3, and PandaStack-v3. These environments are designed to simulate various tasks for reinforcement learning and robotics research, leveraging the PyBullet physics engine.

How can I install panda-gym?

You can install panda-gym using PyPI by running `pip install panda-gym`. Alternatively, you can install it from the source by cloning the GitHub repository and then running `pip install -e panda-gym` in the cloned directory.

Are there pre-trained agents or baseline results available for panda-gym environments?

Yes, baseline results for panda-gym environments are available in the `rl-baselines3-zoo` project. Additionally, pre-trained agents can be found and utilized through the Hugging Face Hub, providing a starting point for further research and development.

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