dm2gym: Convert DeepMind Control Suite to OpenAI gym environments.

This repository contains a lightweight wrapper to convert DeepMind Control Suite to OpenAI gym environments.

Installation

One can install directly from PyPI:

pip install dm2gym

The installation can also be done with:

git clone https://github.com/zuoxingdong/dm2gym.git
cd dm2gym
pip install -e .

Getting started

One liner to create the environment:

import gym
env = gym.make('dm2gym:CheetahRun-v0')

More examples to specify the environment:

env = gym.make('dm2gym:FishSwim-v0', environment_kwargs={'flat_observation': True})
env = gym.make('dm2gym:HopperHop-v0', visualize_reward=True)

What's new

• 2019-10-18 (v0.2.0)

  • Sync to the latest API of DeepMind Control Suite
  • Support gym registration: create all dm_control environments via gym.make

• 2019-04-14 (v0.1.0)

  • Initial release

Reference

Please use this bibtex if you want to cite this repository in your publications:

@misc{dm2gym,
      author = {Zuo, Xingdong},
      title = {dm2gym: Convert DeepMind Control Suite to OpenAI gym environments.},
      year = {2019},
      publisher = {GitHub},
      journal = {GitHub repository},
      howpublished = {\url{https://github.com/zuoxingdong/dm2gym}},
    }