pysc2

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

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

StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)

Implementing reinforcement-learning algorithms for pysc2 -environment

PySC2 OpenAI Gym Environments

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

StarCraft II Reinforcement Learning with Pytorch - Mini Games

just for fun

Data analysis of Starcraft II replays . Visualization and classification models

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.

DRL algorithms for Starcraft II

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

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

Generative-Adversarial-Imitation-Learning on PySC2

Starcraft II Agents using PySC2 - StarCraft II Learning Environment

Work on SC2 minigames with reinforcement learning

PySC2 Reinforcement Learning Agents

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

StarCraft II Data Analytics

Simulate StarCraft II army engagements and try to predict them.

Rule based AI for StarCraft 2 Minigames

Reinforcement Learning Agents for SC2LE

Machine learning experiments with pysc2 and Starcraft 2