Skip to main content

Starcraft II environment and library for training agents.

Project description

PySC2 - StarCraft II Learning Environment

PySC2 is DeepMind’s Python component of the StarCraft II Learning Environment (SC2LE). It exposes Blizzard Entertainment’s StarCraft II Machine Learning API as a Python RL Environment. This is a collaboration between DeepMind and Blizzard to develop StarCraft II into a rich environment for RL research. PySC2 provides an interface for RL agents to interact with StarCraft 2, getting observations and sending actions.

We have published an accompanying blogpost and paper https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research-environment/ which outlines our motivation for using StarCraft II for DeepRL research, and some initial research results using the environment.

Read the README at https://github.com/deepmind/pysc2 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

PySC2-3.0.0.tar.gz (177.4 kB view details)

Uploaded Source

Built Distributions

PySC2-3.0.0-py3-none-any.whl (260.7 kB view details)

Uploaded Python 3

PySC2-3.0.0-py2-none-any.whl (260.7 kB view details)

Uploaded Python 2

File details

Details for the file PySC2-3.0.0.tar.gz.

File metadata

  • Download URL: PySC2-3.0.0.tar.gz
  • Upload date:
  • Size: 177.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for PySC2-3.0.0.tar.gz
Algorithm Hash digest
SHA256 335605f4400da749c3431b5180163955d1da5b3c7e90d6cda01f4a2b0b88c914
MD5 170de9890190c94387bbe58413d7fdb4
BLAKE2b-256 a28b744a745a8d851ee7677debc332bcfc8421c96a6a3930602dabc989f05027

See more details on using hashes here.

Provenance

File details

Details for the file PySC2-3.0.0-py3-none-any.whl.

File metadata

  • Download URL: PySC2-3.0.0-py3-none-any.whl
  • Upload date:
  • Size: 260.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.6.8

File hashes

Hashes for PySC2-3.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0ef5b4883604f4e2f7afcbcf4eb891b835e274bb52a2d11feca042fdf3e69898
MD5 2cae20a32b74823a48fcf6d0c280f8fe
BLAKE2b-256 67716d06df90e9da3619873382360d32f07254398f56c1c83aa86bd025557220

See more details on using hashes here.

Provenance

File details

Details for the file PySC2-3.0.0-py2-none-any.whl.

File metadata

  • Download URL: PySC2-3.0.0-py2-none-any.whl
  • Upload date:
  • Size: 260.7 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.15.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/2.7.16

File hashes

Hashes for PySC2-3.0.0-py2-none-any.whl
Algorithm Hash digest
SHA256 1d1af92302082c98ab110082456228c3c546619cfd9e5c8e38a1387a390e01ad
MD5 a39ee29835d91fcf3248e03d81a5e48f
BLAKE2b-256 666f40d6be05b17efa696f9fd339906b72f77fc5cb1dc38fdcc86cead5d2ab25

See more details on using hashes here.

Provenance

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