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Search results for python starcraft2

23 search results found

Di Star ⭐ 1,391

An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Python Sc2 ⭐ 579

A StarCraft II bot api client library for Python 3

Python Sc2 ⭐ 404

A StarCraft II bot api client library for Python 3

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

Mini Alphastar ⭐ 206

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

Sc2reader ⭐ 134

Extracts gameplay information from Starcraft II replay files

Startcraft_pysc2_minigames ⭐ 104

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

Python library for reading MPQ archives.

Sc2aibot ⭐ 84

Implementing reinforcement-learning algorithms for pysc2 -environment

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.

Sharpy Sc2 ⭐ 58

Python framework for rapid development of Starcraft 2 AI bots

Spawningtool ⭐ 44

Tools for analyzing StarCraft 2 Replays

PySC2 OpenAI Gym Environments

Shapley Q Learning ⭐ 30

This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.

StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX

Starcraft Casting Tool ⭐ 25

StarCraft Casting Tool is a free to use open source program that makes casting StarCraft 2 simple while increasing the production value substantially by providing a match grabber and various sets of animated icons and browser sources to be shown to the viewer.

[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning

Meta Learning For Starcraft Ii Minigames ⭐ 20

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

Zerg Infestation Strategy ⭐ 12

Playing StarCraft with Python

Hiernet Sc2 ⭐ 7

The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft".

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

Sc2dsstats ⭐ 6

Starcraft 2 - custom map Direct Strike replay analyzer

Sc2agents ⭐ 5

PySC2 Reinforcement Learning Agents

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