smac
There are 31 repositories under smac topic.
automl/auto-sklearn
Automated Machine Learning with scikit-learn
opendilab/DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
marlbenchmark/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
hijkzzz/pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
Lizhi-sjtu/MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
afwbkbc/glsmac
Unofficial open-source OpenGL/SDL2 reimplementation of Sid Meier's Alpha Centauri ( + Alien Crossfire )
opendilab/ACE
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
NKAI-Decision-Team/LLM-PySC2
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.
jk96491/SMAC
StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
hijkzzz/noisy-mappo
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
j3soon/dfac
[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
hyeon1996/FoX
This repository considers the implementation of the paper "FoX: Formation-aware exploration in multi-agent reinforcement learning" which has been accepted to AAAI 2024
nphdang/Bandit-BO
Bayesian Optimization for Categorical and Continuous Inputs
xujiuqing2023/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO with various normalization techniques.
jk96491/C-COMA
Continual Multi-agent Reinforcement Learning in Dynamic Environments
ZhuohuiZhang/TGCNet
This is the official implementation of [AAAI'25 Oral] accepted paper: Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems.
j3soon/dfac-extended
[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
legalaspro/marl-ppo-suite
Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO and HAPPO with various techniques.
lucylow/l3gacy_fps
Anti-Cheat Detection for Game Streaming
johnantonn/cash-for-unsupervised-ad
Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection
pouyaardehkhani/ParameterOptimization
In this project, we focus on different ways to optimize a machine learning model parameters.
zemovi/AutoDA
An automated data augmentation tool in Python
maechler/a2e
A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.
Anemosx/isaac
Hidden Attacks in Multi-Agent Reinforcement Learning
apertamono/namenlijsten
Thematic lists of Dutch words which can be used in naming schemes
djipi/SMAC
SubQMod's Macro Assembler for Atari Jaguar
DimitriWeiss/up-ac
Integration of algorithm configuration in the Unified Planning Framework
DeepanChakravarthiPadmanabhan/Research-and-Development-HBRS
Research and Development project report. Affliations: Hochschule Bonn-Rhein-Sieg and Fraunhofer SCAI
DimitriWeiss/selector
Ensemble-based Automated Algorithm Configuration
Laraib-Azmat/SMAC-Protocol
Wireless Sensor SMAC Medium Access Protocol Implemented in Matlab. Complete energy efficient and collision avoidance protocol.
tejakiransirivella/Classical-AutoML
An AutoML framework for classical machine learning algorithms, automating model selection and hyperparameter tuning through Bayesian optimization, portfolio-based meta-learning, and multi-fidelity evaluation using Successive Halving.