Skip to main content

A Gym environment wrapper for the DART physics engine

Project description

gym-dart

OpenAI Gym environments for DART and dartpy

CI Publish

:warning: Warning: gym-dart is under heavy development. See the open issues on gym-dart for insight into the current state of the project. Please report any issues you encounter on the appropriate repository. We will use develop branch (instead of master) as the default branch without worrying about the commit history until the API becomes stable.

Environments

  • DartCartPole-v0
  • DartParticle-v0
  • DartReacher-v0

Installation

OpenAI Gym

  • Using pip
$ python3 -m pip install -U gym
  • Build from source
$ git clone https://github.com/openai/gym
$ cd gym
$ python3 -m pip install -e .

dartpy

$ sudo apt-add-repository ppa:dartsim/ppa
$ sudo apt update
$ suao apt install python3-dartpy

gym-dart

$ git clone https://github.com/dartsim/gym-dart
$ cd gym-dart
$ python3 -m pip install -e .

License

gym-dart is licensed under a BSD license. See LICENSE for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

gym-dart-0.0.1.post34.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

gym_dart-0.0.1.post34-py3-none-any.whl (10.4 kB view details)

Uploaded Python 3

File details

Details for the file gym-dart-0.0.1.post34.tar.gz.

File metadata

  • Download URL: gym-dart-0.0.1.post34.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.2

File hashes

Hashes for gym-dart-0.0.1.post34.tar.gz
Algorithm Hash digest
SHA256 d79ae8229feca689b0a6b6a9f9c3bdce3a1e437d11c18fdc779e7b47be5d4b11
MD5 50d013be7b6f2419cfe318dd3dcf4fb0
BLAKE2b-256 7ed3e9e012a4f0cfd38917a2031a99a13e957d7e9d04edf731b0ff1be72e1c34

See more details on using hashes here.

File details

Details for the file gym_dart-0.0.1.post34-py3-none-any.whl.

File metadata

File hashes

Hashes for gym_dart-0.0.1.post34-py3-none-any.whl
Algorithm Hash digest
SHA256 3b8dbdb82558a65524237030ba4c433e3f2507675eaa97ae4b38eb75dcd78dbc
MD5 1c7a8e21879d03cf3cceedc648c8c342
BLAKE2b-256 ad0cc6a29d2de0dc39f2f3f448a829c1a8c33e43b3d835c7332a07a1146f4b12

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page