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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distributions
File details
Details for the file PySC2-4.0.0-py310-none-manylinux2010_x86_64.whl.
File metadata
- Download URL: PySC2-4.0.0-py310-none-manylinux2010_x86_64.whl
- Upload date:
- Size: 4.0 MB
- Tags: Python 3.10, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 14f85ce90e7f56e26a82e64ad684b24767d8f1af5b9c7578c9ea0f2b74a02eb9 |
|
| MD5 | c43c4922d42806fe89905d2053330b24 |
|
| BLAKE2b-256 | 84536ae2aeed4634085f6d98ab6114e50401259f8b34afd9ead8a1aec5543c0c |
Provenance
File details
Details for the file PySC2-4.0.0-py39-none-manylinux2010_x86_64.whl.
File metadata
- Download URL: PySC2-4.0.0-py39-none-manylinux2010_x86_64.whl
- Upload date:
- Size: 4.0 MB
- Tags: Python 3.9, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | f1f1501c7b58b1d508a7d7a7239b97c06e672a7e7c362cf0849dd99b0790effa |
|
| MD5 | c6126d44e86530eddee5633bf1613aa5 |
|
| BLAKE2b-256 | f0ac498ecdc9f0e8398b7c63d28b7529dd852d9448941bfd0e6db2e6177129e7 |
Provenance
File details
Details for the file PySC2-4.0.0-py38-none-manylinux2010_x86_64.whl.
File metadata
- Download URL: PySC2-4.0.0-py38-none-manylinux2010_x86_64.whl
- Upload date:
- Size: 4.0 MB
- Tags: Python 3.8, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 23434394a0588458f9ec45fe4d86de85d75d4f0e18dd75860f944dc78225f738 |
|
| MD5 | 148d7980f146e210ca5025ed0ea09bd5 |
|
| BLAKE2b-256 | 94c72181488e3bd53bb721002794c4947e3ba0ad526627629ce06108e35ea3a0 |
Provenance
File details
Details for the file PySC2-4.0.0-py3-none-manylinux2010_x86_64.whl.
File metadata
- Download URL: PySC2-4.0.0-py3-none-manylinux2010_x86_64.whl
- Upload date:
- Size: 4.0 MB
- Tags: Python 3, manylinux: glibc 2.12+ x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b884ecada68e031a7dd1a61edfc16e6149a059ba47ea8b635bda828f5735abf8 |
|
| MD5 | 646be8193f0528b6f721f126a823ddd4 |
|
| BLAKE2b-256 | f18c60c61ff677e7e3b854f9d1fc1432200c2a34ccb0324d9210cadf4766c688 |
Provenance
File details
Details for the file PySC2-4.0.0-py3-none-any.whl.
File metadata
- Download URL: PySC2-4.0.0-py3-none-any.whl
- Upload date:
- Size: 265.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0411853ec92a37aa78e6106148710f99d2a445c56b97f037c8055b8624a1abb2 |
|
| MD5 | 4724f5dbf1594b76fb125d81033916fc |
|
| BLAKE2b-256 | 6fd19b3ef1076a221789c8578fc403150911939ae3895fe55d693bd7d45a4fab |
