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

(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.

Reinforcement learning framework to accelerate research

Python framework for rapid development of Starcraft 2 AI bots

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.

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

StarCraft 2 AI Workshop

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

A StarCraft 2 agent for harvesting resources

StarCraft 2 Imitation Learning

Winner Starcraft II bot with convolutional neural networks

Golang client for the Starcraft II protocol

StarCraft II Data Analytics

An Rensselaer Center for Open Source (RCOS) created project exploring AI and video games; created to make a StarCraft 2 AI

Spectator client for watching headless StarCraft 2 bot matches

Simple {scripts for ctf`s and challenges/python irc bot/automating stuff etc.}

(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.

(TG'2021) Code for paper "Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning". TG = Transactions on Games.

A creative (generative) bot, implemented using Generative Adversarial Networks, for the RL environment released by DeepMind for the adversarial strategy game, StarCraft II.

Rule based AI for StarCraft 2 Minigames