Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Decentralize, Self-host Cloud Gaming/Application

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

A StarCraft II bot api client library for Python 3

Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo.

Starcraft AI Bot

A StarCraft II bot api client library for Python 3

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

Extracts gameplay information from Starcraft II replay files

Startcraft II Machine Learning research with DeepMind pysc2 python library .mini-games and agents.

We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enhanced algorithm achieves 100% win rates on SMAC-V1 and superior performance on SMAC-V2.

Python library for reading MPQ archives.

LLM-PySC2 is NKAI Decision Team and NUDT Decision Team's Python component of the StarCraft II LLM Decision Environment. It exposes Deepmind's PySC2 Learning Environment API as a Python LLM Environment.

Implementing reinforcement-learning algorithms for pysc2 -environment

Python framework for rapid development of Starcraft 2 AI bots

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

RTS style building placement in Unity

Go client library for Blizzard API data

StarCraft II Client - Java library supported on Windows, Linux and Mac designed for building scripted bots and research using the SC2API.