multiagent-reinforcement-learning

There are 53 repositories under multiagent-reinforcement-learning topic.

LantaoYu / MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
multi-agent-learning multiagent-reinforcement-learning
3803
opendilab / DI-engine
OpenDILab Decision AI Engine
atari distributed-reinforcement-learning distributed-system drl exploration-exploitation imitation-learning impala inverse-reinforcement-learning minigrid model-based-reinforcement-learning mujoco multiagent-reinforcement-learning offline-rl python pytorch-rl r2d2 reinforcement-learning reinforcement-learning-algorithms self-play smac
Language:Python 2629
PettingZoo
Farama-Foundation / PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
api gym gymnasium multi-agent-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning
Language:Python 2401
awesome-deep-rl
tigerneil / awesome-deep-rl
For deep RL and the future of AI.
aaai aamas agi aistats artificial-general-intelligence deep-reinforcement-learning distributional exploration-exploitation game hierarchical-reinforcement-learning iclr icml ijcai inverse-rl multiagent-reinforcement-learning planning reinforcement-learning reward theoretical-computer-science uai
Language:HTML 1383
cityflow-project / CityFlow
A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario
multiagent-reinforcement-learning multiagent-systems traffic-signal-control traffic-simulation
Language:C++ 749
xuehy / pytorch-maddpg
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
multiagent-reinforcement-learning pytorch-rl
Language:Python 580
meltingpot
google-deepmind / meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
multiagent-reinforcement-learning
Language:Python 542
salesforce / warp-drive
Extremely Fast End-to-End Deep Multi-Agent Reinforcement Learning Framework on a GPU (JMLR 2022)
reinforcement-learning gpu cuda multiagent-reinforcement-learning deep-learning high-throughput pytorch numba
Language:Python 436
ankonzoid / LearningX
Deep & Classical Reinforcement Learning + Machine Learning Examples in Python
reinforcement-learning deep-learning neural-network q-learning deep-reinforcement-learning python deep multiagent-reinforcement-learning learning tutorials tutorial-exercises tutorial-code examples machine-learning machine-learning-algorithms data-science optimization agent
Language:Python 341
TimeBreaker / MARL-papers-with-code
Multi-Agent Reinforcement Learning (MARL) papers with code
marl-papers marl-resources multiagent-reinforcement-learning marl
262
jiachenli94 / Awesome-Decision-Making-Reinforcement-Learning
A selection of state-of-the-art research materials on decision making and motion planning.
reinforcement-learning decision-making autonomous-vehicles trajectory-planning algorithms motion-planning inverse-reinforcement-learning motion-control trajectory-generation machine-learning deep-learning trajectory-prediction motion-prediction multiagent-reinforcement-learning multi-agent-learning robotics artificial-intelligence intelligent-transportation-systems causal-inference
204
ArnaudFickinger / gym-multigrid
Lightweight multi-agent gridworld Gym environment
gridworld gridworld-environment gym gym-environment multi-agent multi-agent-reinforcement-learning multi-agent-systems multiagent-reinforcement-learning multiagent-systems multiplayer-game
Language:Python 184
TimeBreaker / MARL-resources-collection
A Collection of Multi-Agent Reinforcement Learning (MARL) Resources
marl multiagent-reinforcement-learning multi-agent-learning multiagent-learning
184
TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
Multi-Agent Reinforcement Learning (MARL) papers
multi-agent-learning multiagent-learning multiagent-reinforcement-learning marl
184
rosewang2008 / gym-cooking
gym-cooking: Code for "Too many cooks: Bayesian inference for coordinating multi-agent collaboration", Winner of the CogSci 2020 Computational Modeling Prize in High Cognition, and a NeurIPS 2020 CoopAI Workshop Best Paper.
machine-learning multiagent-reinforcement-learning reinforcement-learning
Language:Python 179
decentralized-multiarm
real-stanford / decentralized-multiarm
[CoRL 2020] Learning a Decentralized Multiarm Motion Planner
deep-learning motion-planning multiagent-reinforcement-learning pytorch robotics
Language:Python 130
wwxFromTju / deepmind_MAS_enviroment
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
multiagent multiagent-reinforcement-learning sequential-social-dilemmas
Language:Python 128
Stanford-ILIAD / PantheonRL
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.
deep-reinforcement-learning multiagent-reinforcement-learning reinforcement-learning
Language:Python 117
hsvgbkhgbv / SQDDPG
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global Reward Games''.
reinforcement-learning multi-agent-reinforcement-learning framework policy-gradient openai-gym pytorch multiagent-reinforcement-learning sqddpg shapley-q-value marl multi-agent-rl
Language:Python 106
tjuHaoXiaotian / pymarl3
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.
multiagent-reinforcement-learning starcraft2 starcraft2-ai permutation permutation-equivariant permutation-invariance permutation-invariant permutation-equivariance
Language:Python 106
EzgiKorkmaz / adversarial-reinforcement-learning
Reading list for adversarial perspective and robustness in deep reinforcement learning.
adversarial-attacks robust-machine-learning deep-reinforcement-learning adversarial-reinforcement-learning robust-reinforcement-learning ai-safety machine-learning-safety reinforcement-learning-safety safe-reinforcement-learning adversarial-policies explainable-rl robust-adversarial-reinforcement-learning reinforcement-learning-generalization multiagent-reinforcement-learning ai-alignment adversarial-machine-learning explainable-machine-learning responsible-ai meta-reinforcement-learning safe-rlhf
77
gml16 / rl-medical
Communicative Multiagent Deep Reinforcement Learning for Anatomical Landmark Detection using PyTorch.
reinforcement-learning deep-reinforcement-learning deep-learning landmark-detection machine-learning healthcare multiagent-reinforcement-learning
Language:Python 75
JohannesAck / MATD3implementation
Code for the RL method MATD3 described in the paper "Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics"
reinforcement-learning multiagent-reinforcement-learning maddpg td3 rl
Language:Python 62
cyoon1729 / Multi-agent-reinforcement-learning
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
marl multiagent-reinforcement-learning maddpg pytorch pytorch-rl
Language:Python 61
MichelangeloConserva / TotalWarSimulator
Total War Battle simulator for AI research
artificial-intelligence machine-learning multiagent-planning multiagent-reinforcement-learning multiagent-systems reinforcement-learning simulator total-war totalwar unity3d
Language:C# 57
AlirezaShamsoshoara / Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task
A solution for Dynamic Spectrum Management in Mission-Critical UAV Networks using Team Q learning as a Multi-Agent Reinforcement Learning Approach
ai reinforcement-learning marl qlearning-algorithm multiagent-reinforcement-learning spectrum uav drone wildfire
Language:Python 55
ewanlee / ICLR2019-RL-Papers
The Reinforcement-Learning-Related Papers of ICLR 2019
iclr2019 reinforcement-learning multiagent-reinforcement-learning model-free model-based-rl hierarchical-reinforcement-learning inverse-reinforcement-learning imitation-learning sequence-modeling robust-reinforcement-learning meta-learning transfer-learning intrinsic-reward online-learning
47
nsidn98 / InforMARL
Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation
graph-neural-networks graphneuralnetwork multiagent-reinforcement-learning navigation reinforcement-learning reinforcement-learning-algorithms reinforcement-learning-environments icml-2023
Language:Python 46
cjm715 / mgym
A collection of multi-agent reinforcement learning OpenAI gym environments
multiagent-reinforcement-learning multiagent reinforcement-learning gym-environment gym
Language:Python 44
Ankur-Deka / Emergent-Multiagent-Strategies
Emergence of complex strategies through multiagent competition
multiagent-reinforcement-learning multiagent-systems robotics competitive marl
Language:Python 38
hsvgbkhgbv / shapley-q-learning
This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.
multiagent-reinforcement-learning marl starcraft2 q-learning shapley-value interpretability
Language:Python 37
moratodpg / imp_marl
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
benchmark infrastructure-management multiagent-reinforcement-learning environments
Language:Python 33
baskuit / R-NaD
Experimentation with Regularized Nash Dynamics on a GPU accelerated game
deepnash multiagent-reinforcement-learning pytorch reinforcement-learning reinforcement-learning-algorithms rnad
Language:Python 32
kantologist / multiagent-sac
Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
reinforcement-learning multiagent-reinforcement-learning
Language:Python 28
longtermrisk / marltoolbox
A toolbox with the goal of speeding up research on bargaining in MARL (cooperation problems in MARL).
algorithm bargaining colab cooperation cooperation-problems marl multiagent-reinforcement-learning reinforcement-learning reinforcement-learning-algorithms toolbox
Language:Python 28
cage-challenge / cage-challenge-4
The TTCP CAGE Challenges are a series of public challenges instigated to foster the development of autonomous cyber defensive agents. This CAGE Challenge 4 (CC4) returns to a defence industry enterprise environment, and introduces a Multi-Agent Reinforcement Learning (MARL) scenario.
cybersecurity multiagent-reinforcement-learning reinforcement-learning
Language:Python 25

multiagent-reinforcement-learning

LantaoYu / MARL-Papers

opendilab / DI-engine

Farama-Foundation / PettingZoo

tigerneil / awesome-deep-rl

cityflow-project / CityFlow

xuehy / pytorch-maddpg

google-deepmind / meltingpot

salesforce / warp-drive

ankonzoid / LearningX

TimeBreaker / MARL-papers-with-code

jiachenli94 / Awesome-Decision-Making-Reinforcement-Learning

ArnaudFickinger / gym-multigrid

TimeBreaker / MARL-resources-collection

TimeBreaker / Multi-Agent-Reinforcement-Learning-papers

rosewang2008 / gym-cooking

real-stanford / decentralized-multiarm

wwxFromTju / deepmind_MAS_enviroment

Stanford-ILIAD / PantheonRL

hsvgbkhgbv / SQDDPG

tjuHaoXiaotian / pymarl3

EzgiKorkmaz / adversarial-reinforcement-learning

gml16 / rl-medical

JohannesAck / MATD3implementation

cyoon1729 / Multi-agent-reinforcement-learning

MichelangeloConserva / TotalWarSimulator

AlirezaShamsoshoara / Reinforcement_Learning_Team_Q_learnig_MARL_Multi_Agent_UAV_Spectrum_task

ewanlee / ICLR2019-RL-Papers

nsidn98 / InforMARL

cjm715 / mgym

Ankur-Deka / Emergent-Multiagent-Strategies

hsvgbkhgbv / shapley-q-learning

moratodpg / imp_marl

baskuit / R-NaD

kantologist / multiagent-sac

longtermrisk / marltoolbox

cage-challenge / cage-challenge-4