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

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.

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

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.