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

This is a simple implementation of DeepMind's PySC2 RL agents.

Reinforcement learning framework to accelerate research

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

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

Implementing reinforcement-learning algorithms for pysc2 -environment

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.

PySC2 OpenAI Gym Environments

Curated list of pysc2 mini-games . Singleton Environmnets.Debugged by @SoyGema and mini-game authors

Data analysis of Starcraft II replays . Visualization and classification models

StarCraft II Reinforcement Learning with Pytorch - Mini Games

just for fun

Convert sc2 environment to gym-atari and play some mini-games

Example code for PySC2

Applying the DQN-Agent from keras-rl to Starcraft 2 Learning Environment and modding it to to use the Rainbow-DQN algorithms.

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

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

Mini-games consisting of different scenarios in sc2 for use in training and testing StarCraft 2 bots