https://github.com/jslee02/dartenv

OpenAI Gym with DART support
https://github.com/jslee02/dartenv

dart gym openai reinforcement-learning

Last synced: about 2 months ago
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OpenAI Gym with DART support

• Host: GitHub
• URL: https://github.com/jslee02/dartenv
• Owner: jslee02
• License: mit
• Created: 2017-02-22T20:19:40.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2017-02-22T15:39:21.000Z (over 9 years ago)
• Last Synced: 2025-03-25T15:55:17.571Z (about 1 year ago)
• Topics: dart, gym, openai, reinforcement-learning
• Language: Python
• Homepage:
• Size: 294 KB
• Stars: 0
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.rst

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README

          
# DartEnv

Openai Gym with Dart support

###About

**DartEnv** provides 3D multi-body simulation environments based on the **openai gym** environment. The physics simulation is carried out by Dart and PyDart2, which is a python binding for Dart.

###Requirements

You need to install these packages first:

Dart

PyDart2

###Install

To facilitate installation, we have uploaded the entire project base including the original openai gym code. To install, simply do 

    git clone https://github.com/VincentYu68/DartEnv.git

    cd DartEnv

    pip install -e .

Please find the detailed installation instruction of using Rllab to learn DartEnv in the wiki page.

###Example

After installation, you can run DartEnv using the same API as openai gym. One example of running the dart version of the Hopper model is shown below:

    import gym

    env = gym.make('DartHopper-v1')

    observation = env.reset()

    for i in range(100):

        observation, reward, done, envinfo = env.step(env.action_space.sample())

        env.render()