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.

Jaguar: A Hierarchical Deep Reinforcement Learning approach with Transfer Learning for StarCraft II

A modular Deep Reinforcement Learning library that supports multiple environments, made with Python 3.6.

Bits of Code Show ... well bits of code used during episodes

implementing deep learning in starcraft 2 with an aim to create an ai model which can learn to take its own strategic decisions for winning the game

Battle experiments from my master's deep reinforcement learning research

Machine Learning App to Deep Reinforcement Learning in Starcraft 2

Reinforcement learning framework to accelerate research

Steven Brown's tutorials on PySC2

Development of agents capable of acting in different StarCraft II environments through reinforcement learning.

Machine learning experiments with pysc2 and Starcraft 2

Implement the Scripted and DQN Agents for Pysc2 BuildMarines Minigame with PyTorch

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

DRL algorithms for Starcraft II

Reinforcement learning for StarcraftII

StarCraft II replay-processing pipeline.

Downloading & parsing StarCraft II replays

Code to do multi agent systems research on StarCraft II. It contains methods to deal with the Raw Interface from the SC2 API, which has not been officially adapted for Python. This means that, the programmer can now access the objects at the game and the 2D original representation of the map