smac

There are 0 repository under smac topic.

automl / auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Language:Python 7990
opendilab / DI-engine
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
reinforcement-learning multiagent-reinforcement-learning self-play imitation-learning inverse-reinforcement-learning exploration-exploitation distributed-system python impala smac atari mujoco minigrid r2d2 reinforcement-learning-algorithms pytorch-rl offline-rl drl distributed-reinforcement-learning model-based-reinforcement-learning
Language:Python 3540
marlbenchmark / on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
algorithms hanabi mappo mpes multi-agent ppo smac starcraftii
Language:Python 1750
hijkzzz / pymarl2
Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
marl smac starcraft sota reinforcement-learning
Language:Python 691
Lizhi-sjtu / MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
maddpg mappo matd3 mpe qmix reinforcement-learning smac vdn
Language:Python 662
glsmac
afwbkbc / glsmac
Unofficial open-source OpenGL/SDL2 reimplementation of Sid Meier's Alpha Centauri ( + Alien Crossfire )
4x game game-development gamedev multiplayer smac strategy c-plus-plus 4x-strategy-game civ civilization sid-meier-civilization sid-meier-alpha-centauri cross-platform freebsd linux windows turn-based-strategy opengl strategy-game
Language:C++ 531
opendilab / ACE
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
gfootball multi-agent multi-agent-reinforcement-learning reinforcement-learning smac
Language:Python 220
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.
llm llm-agent pysc2 smac starcraft2 multi-agent environment llm-pysc2
Language:Python 141
jk96491 / SMAC
StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
coma liir multi-agent-reinforcement-learning qmix reinforcement-learning roma smac starcraft2
Language:Python 73
hijkzzz / noisy-mappo
Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
mappo smac multi-agent-reinforcement-learning sota
Language:Python 70
dfac
j3soon / dfac
[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning
icml-2021 smac starcraft2 reinforcement-learning multi-agent-reinforcement-learning dfac
Language:Python 32
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
aaai2024 marl smac
Language:Python 22
nphdang / Bandit-BO
Bayesian Optimization for Categorical and Continuous Inputs
bayesian-optimization categorical-variables continuous-variable thompson-sampling gaussian-processes automated-machine-learning hyperparameter-optimization batch-bayesian-optimization acquisition-functions multi-armed-bandits machine-learning hyperparameter-tuning gpyopt hyperopt smac automl optimization
Language:Python 21
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.
mappo multiagent-learning multiagent-reinforcement-learning multiagents pytorch reinforcement-learning-algorithms rnn-gru rnn-pytorch smac starcraft2
Language:Python 11
jk96491 / C-COMA
Continual Multi-agent Reinforcement Learning in Dynamic Environments
smac dynamic-environments marl coma qmix multiagent-reinforcement-learning
Language:Python 10
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.
algorithms multi-agent multi-agent-reinforcement-learning smac
Language:Python 9
dfac-extended
j3soon / dfac-extended
[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning
multi-agent-reinforcement-learning reinforcement-learning smac starcraft2 jmlr-2023 dfac
Language:Python 7
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.
mappo multiagent-learning multiagent-reinforcement-learning multiagents pytorch reinforcement-learning-algorithms rnn-gru rnn-pytorch smac starcraft2 happo heterogeneous-agents parallel-processing ppo smacv2 automation docker runpods wandb
Language:Python 6
lucylow / l3gacy_fps
Anti-Cheat Detection for Game Streaming
game-streaming cheating-script fps first-person-shooter first-person-activity-recognition streaming stream-processing stream-processing-engine gaming game gamedev game-engine faceit smac screenshot screenshot-library game-development games game-dev
6
johnantonn / cash-for-unsupervised-ad
Systematic Evaluation of CASH Search Strategies for Unsupervised Anomaly Detection
anomaly-detection automl cash model-selection outlier-detection smac unsupervised-anomaly-detection
Language:Jupyter Notebook 3
pouyaardehkhani / ParameterOptimization
In this project, we focus on different ways to optimize a machine learning model parameters.
acquisition-functions annealing basic-search bayesian-optimization cross-validation gaus hyperopt hyperparameter-optimization hyperparameter-tuning metrics optuna parallelization scikit-opt search-space sequential-search smac smbo smbo-algorithms tpe
Language:Jupyter Notebook 3
zemovi / AutoDA
An automated data augmentation tool in Python
augmentation deep-learning neural-network machine-learning keras-tensorflow smac fanova
Language:Jupyter Notebook 3
maechler / a2e
A library based on Keras, SMAC and HpBandSter to auto tune autoencoder architectures.
smac keras hpbandster a2e automl nas neural-architecture-search autoencoder hpo hyperparameter-optimization automated-machine-learning
Language:Python 2
Anemosx / isaac
Hidden Attacks in Multi-Agent Reinforcement Learning
adversarial-attacks adversarial-machine-learning ai multi-agent-reinforcement-learning multi-agent-systems reinforcement-learning smac isaac starcraft2
Language:Jupyter Notebook 1
apertamono / namenlijsten
Thematic lists of Dutch words which can be used in naming schemes
cities dutch factions game list lists modding names naming-conventions naming-schemes smac thematic-lists themes words
1
djipi / SMAC
SubQMod's Macro Assembler for Atari Jaguar
assembler atari jaguar smac
Language:C 1
DimitriWeiss / up-ac
Integration of algorithm configuration in the Unified Planning Framework
algorithm configuration planning unified ac algorithm-configuration gga irace oat parameter-tuning selector smac unified-planning
Language:Python 0
DeepanChakravarthiPadmanabhan / Research-and-Development-HBRS
Research and Development project report. Affliations: Hochschule Bonn-Rhein-Sieg and Fraunhofer SCAI
automl bayesian-optimization machine-learning multiphysics-simulation smac
Language:TeX
DimitriWeiss / selector
Ensemble-based Automated Algorithm Configuration
algorithm configuration ensemble offline ac algorithm-configuration gga parameter-tuning selector smac cppl
Language:Python
Laraib-Azmat / SMAC-Protocol
Wireless Sensor SMAC Medium Access Protocol Implemented in Matlab. Complete energy efficient and collision avoidance protocol.
medium-access-control smac wireless-protocol
Language:MATLAB
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.
auto-sklearn automl bayesian-optimization benchmarking classical-machine-learning hyperparameter-tuning meta-learning openml parallel-computing ray scikit-learn smac successive-halving
Language:Python