Unofficial open-source OpenGL/SDL2 reimplementation of Sid Meier's Alpha Centauri ( + Alien Crossfire )

OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

Automated Machine Learning with scikit-learn

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.

This repository considers the implementation of the paper "FoX: Formation-aware exploration in multi-agent reinforcement learning" which has been accepted to AAAI 2024

This is the official implementation of Multi-Agent PPO (MAPPO).

SubQMod's Macro Assembler for Atari Jaguar

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

Wireless Sensor SMAC Medium Access Protocol Implemented in Matlab. Complete energy efficient and collision avoidance protocol.

[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

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

[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection

In this project, we focus on different ways to optimize a machine learning model parameters.

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

Continual Multi-agent Reinforcement Learning in Dynamic Environments

A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.

Bayesian Optimization for Categorical and Continuous Inputs