Topic: multi-agent-reinforcement-learning Goto Github

👇 Here are 292 public repositories matching this topic...

011235813 / cm3
multi-agent-reinforcement-learning,Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
User: 011235813
multi-agent-reinforcement-learning

accel-brain / accel-brain-code
multi-agent-reinforcement-learning,The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
User: accel-brain
Home Page: https://accel-brain.co.jp
automatic-summarization deep-learning deep-reinforcement-learning reinforcement-learning q-learning restricted-boltzmann-machine simulated-annealing quantum-monte-carlo quantum-annealing auto-encoder

agi-brain / xuance
multi-agent-reinforcement-learning,XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Organization: agi-brain
Home Page: https://xuance.readthedocs.io/
multi-agent-reinforcement-learning reinforcement-learning reinforcement-learning-library decision-making mindspore pytorch tensorflow2 atari mujoco mpe a2c ddpg dqn maddpg starcraft2 magent google-research-football mappo qmix ppo

agilerl / agilerl
multi-agent-reinforcement-learning,Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Organization: agilerl
Home Page: https://agilerl.com
reinforcement-learning deep-reinforcement-learning deep-learning rlops evolutionary-algorithms machine-learning pytorch gym hpo python

allenpandas / reinforcement-learning-papers
multi-agent-reinforcement-learning,📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
User: allenpandas
deep-reinforcement-learning reinforcement-learning dqn imitation-learning multi-agent-reinforcement-learning policy-gradient q-learning artificial-intelligence reinforcement-learning-papers reinforcement-learning-conferences

allenpandas / tutorial4rl
multi-agent-reinforcement-learning,Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
User: allenpandas
a3c ddpg deep-reinforcement-learning dqn multi-agent-systems policy-gradient qlearning reinforcement-learning sarsa tutorial

arnaudfickinger / gym-multigrid
multi-agent-reinforcement-learning,Lightweight multi-agent gridworld Gym environment
User: arnaudfickinger
gym-environment multiplayer-game multiagent-systems multiagent-reinforcement-learning gridworld-environment gym gridworld multi-agent multi-agent-systems multi-agent-reinforcement-learning

by571 / deep-reinforcement-learning-algorithm-collection
multi-agent-reinforcement-learning,Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
User: by571
a2c actor-critic algorithms continuous-action-space curiosity ddpg deep-reinforcement-learning dqn intrinsic-curiosity-module intrinsic-motivation library machine-learning multi-agent multi-agent-reinforcement-learning policy-gradient ppo reinforcement-learning reinforcement-learning-algorithms sac soft-actor-critic

chauncygu / multi-agent-constrained-policy-optimisation
multi-agent-reinforcement-learning,Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
User: chauncygu
multi-agent-reinforcement-learning policy-optimization safe-reinforcement-learning

chuacheowhuan / gym-continuousdoubleauction
multi-agent-reinforcement-learning,A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
User: chuacheowhuan
Home Page: https://chuacheowhuan.github.io
multi-agent-reinforcement-learning gym-environment limit-order-book high-frequency-trading ray rllib market-microstructure financial-engineering self-play double-auction

chuangyc / awesome-multiagent-learning
multi-agent-reinforcement-learning,A curated list of multiagent learning and related area resources.
User: chuangyc
awesome multi-agent-learning multi-agent-reinforcement-learning multiagent-systems

cn-upb / deepcomp
multi-agent-reinforcement-learning,Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning
Organization: cn-upb
Home Page: https://cn-upb.github.io/DeepCoMP/
reinforcement-learning multi-agent-reinforcement-learning mobile wireless comp cellular cell-selection python simulation ppo

coac / commnet-bicnet
multi-agent-reinforcement-learning,CommNet and BiCnet implementation in tensorflow
User: coac
multi-agent-reinforcement-learning reinforcement-learning tensorflow

decisionforce / copo
multi-agent-reinforcement-learning,[NeurIPS 2021] Official implementation of paper "Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization".
Organization: decisionforce
multi-agent-reinforcement-learning

facebookresearch / benchmarl
multi-agent-reinforcement-learning,A collection of MARL benchmarks based on TorchRL
Organization: facebookresearch
Home Page: https://benchmarl.readthedocs.io/
benchmark machine-learning marl multi-agent multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch

fangvv / vn-maddpg
multi-agent-reinforcement-learning,Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"
User: fangvv
ddpg ddpg-algorithm dqn maddpg deep-reinforcement-learning multi-agent-reinforcement-learning reinforcement-learning vehicular-networks v2i v2v

farama-foundation / chatarena
multi-agent-reinforcement-learning,ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
Organization: farama-foundation
Home Page: https://www.chatarena.org/
ai artificial-intelligence chatgpt gpt-4 large-language-models multi-agent multi-agent-reinforcement-learning multi-agent-simulation natural-language-processing python

farama-foundation / pettingzoo
multi-agent-reinforcement-learning,An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Organization: farama-foundation
Home Page: https://pettingzoo.farama.org
api gym gymnasium multi-agent-reinforcement-learning reinforcement-learning multiagent-reinforcement-learning

future-power-networks / mapdn
multi-agent-reinforcement-learning,This repository is for an open-source environment for multi-agent active voltage control on power distribution networks (MAPDN).
Organization: future-power-networks
multi-agent-reinforcement-learning voltage-control active-voltage-control reinforcement-learning-environments distribution-networks

garlicdevs / fruit-api
multi-agent-reinforcement-learning,A Universal Deep Reinforcement Learning Framework
User: garlicdevs
Home Page: http://fruitlab.org/
actor-critic actor-critic-algorithm arcade-learning-environment atari deep-learning deep-reinforcement-learning environment games human human-in-the-loop multi-agent multi-agent-reinforcement-learning multi-objective-optimization multiplayer-game policy-gradients reinforcement-learning reinforcement-learning-algorithms

hsvgbkhgbv / sqddpg
multi-agent-reinforcement-learning,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''.
User: hsvgbkhgbv
reinforcement-learning multi-agent-reinforcement-learning framework policy-gradient openai-gym pytorch multiagent-reinforcement-learning sqddpg shapley-q-value marl

illidanlab / simulator
multi-agent-reinforcement-learning,Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning
Organization: illidanlab
multi-agent-reinforcement-learning simulator fleet-management

instadeepai / mava
multi-agent-reinforcement-learning,🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Organization: instadeepai
jax marl multi-agent-reinforcement-learning multi-agent-systems multiagent reinforcement-learning research

instadeepai / og-marl
multi-agent-reinforcement-learning,:battery: Datasets with baselines for offline multi-agent reinforcement learning.
Organization: instadeepai
Home Page: https://instadeepai.github.io/og-marl/
multi-agent-reinforcement-learning reinforcement-learning offline-reinforcement-learning

isp1tze / maproj
multi-agent-reinforcement-learning,Multi-agent project (commnet, bicnet, maddpg) in pytorch for Multi-Agent Particle Environment
User: isp1tze
multi-agent-reinforcement-learning pytorch commnet bicnet maddpg

jimmyyhwu / spatial-intention-maps
multi-agent-reinforcement-learning,Learning multi-agent robotic mobile manipulation with deep reinforcement learning
User: jimmyyhwu
Home Page: https://spatial-intention-maps.cs.princeton.edu
spatial-intention-maps mobile-manipulation robotics multi-agent-reinforcement-learning deep-reinforcement-learning dqn pybullet pytorch anki-vector spatial-action-maps

jk96491 / smac
multi-agent-reinforcement-learning,StarCraft II Multi Agent Challenge : QMIX, COMA, LIIR, QTRAN, Central V, ROMA, RODE, DOP, Graph MIX
User: jk96491
smac qmix roma starcraft2 multi-agent-reinforcement-learning reinforcement-learning liir coma

johannesack / tf2multiagentrl
multi-agent-reinforcement-learning,Clean implementation of Multi-Agent Reinforcement Learning methods (MADDPG, MATD3, MASAC, MAD4PG) in TensorFlow 2.x
User: johannesack
multi-agent-reinforcement-learning reinforcement-learning tensorflow2

matteokarldonati / counterfactual-multi-agent-policy-gradients
multi-agent-reinforcement-learning,PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
User: matteokarldonati
reinforcement-learning deep-reinforcement-learning multi-agent-reinforcement-learning

microsoft / maro
multi-agent-reinforcement-learning,Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Organization: microsoft
Home Page: https://maro.readthedocs.io/en/latest/
reinforcement-learning multi-agent-reinforcement-learning multi-agent simulator resource-optimization operations-research citi-bike inventory-management logistics raas

minqi / learning-to-communicate-pytorch
multi-agent-reinforcement-learning,Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
User: minqi
rl reinforcement-learning deep-reinforcement-learning multi-agent-reinforcement-learning multi-agent-systems drl deep-learning deepmind emergent-behavior recurrent-neural-networks

mzho7212 / lica
multi-agent-reinforcement-learning,[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"
User: mzho7212
Home Page: https://arxiv.org/abs/2007.02529
multi-agent-reinforcement-learning deep-learning pytorch

opendilab / ace
multi-agent-reinforcement-learning,[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
Organization: opendilab
gfootball multi-agent multi-agent-reinforcement-learning reinforcement-learning smac

opendilab / di-engine-docs
multi-agent-reinforcement-learning,DI-engine docs (Chinese and English)
Organization: opendilab
Home Page: https://di-engine-docs.readthedocs.io
reinforcement-learning reinforcement-learning-algorithms imitation-learning inverse-reinforcement-learning multi-agent-reinforcement-learning offline-rl model-based-reinforcement-learning deep-learning pytorch-rl

openrl-lab / openrl
multi-agent-reinforcement-learning,Unified Reinforcement Learning Framework
Organization: openrl-lab
Home Page: https://openrl-docs.readthedocs.io
distributed-reinforcement-learning embodied google-research-football gym gymnasium multi-agent-reinforcement-learning pytorch reinforcement-learning robotics self-playing

philtabor / multi-agent-deep-deterministic-policy-gradients
multi-agent-reinforcement-learning,A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
User: philtabor
reinforcement-learning actor-critic-methods maddpg multi-agent-reinforcement-learning deep-reinforcement-learning actor-critic-algorithm

praveen-palanisamy / macad-gym
multi-agent-reinforcement-learning,Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
User: praveen-palanisamy
Home Page: https://arxiv.org/abs/1911.04175
multi-agent-reinforcement-learning autonomous-driving multi-agent-autonomous-driving carla-gym macad-gym carla carla-rl carla-reinforcement-learning gym-environments deep-reinforcement-learning

proroklab / vectorizedmultiagentsimulator
multi-agent-reinforcement-learning,VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Organization: proroklab
Home Page: https://vmas.readthedocs.io
gym gym-environment marl multi-agent multi-agent-learning multi-agent-reinforcement-learning multi-agent-simulation multi-agent-systems multi-robot multi-robot-framework multi-robot-sim multi-robot-simulator multi-robot-systems pytorch rllib simulator vectorization vectorized robotics simulation

pytorch / rl
multi-agent-reinforcement-learning,A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Organization: pytorch
Home Page: https://pytorch.org/rl
ai control decision-making distributed-computing machine-learning marl model-based-reinforcement-learning multi-agent-reinforcement-learning pytorch reinforcement-learning

replicable-marl / marllib
multi-agent-reinforcement-learning,One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
Organization: replicable-marl
Home Page: https://marllib.readthedocs.io
multi-agent-reinforcement-learning ray rllib pytorch deep-reinforcement-learning

semitable / robotic-warehouse
multi-agent-reinforcement-learning,Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
User: semitable
reinforcement-learning robotics simulation environment multi-agent-systems multi-agent-reinforcement-learning multi-agent

shanghai-digital-brain-laboratory / db-football
multi-agent-reinforcement-learning,A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
Organization: shanghai-digital-brain-laboratory
distributed google-research-football multi-agent-reinforcement-learning ray football reinforcement-learning mappo ppo pytorch psro

starry-sky6688 / marl-algorithms
multi-agent-reinforcement-learning, Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
User: starry-sky6688
multi-agent-reinforcement-learning deep-reinforcement-learning reinforcement-learning

stefanbschneider / mobile-env
multi-agent-reinforcement-learning,An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.
User: stefanbschneider
Home Page: https://mobile-env.readthedocs.io
autonomous cell-selection cellular coordination environment evaluation gym gymnasium management mobile mobile-networks multi-agent-reinforcement-learning optimization python python3 reinforcement-learning rllib simulation stable-baselines wireless

tartrl / tikick
multi-agent-reinforcement-learning,Learning-based agent for Google Research Football (足球游戏智能体)
Organization: tartrl
Home Page: https://zhuanlan.zhihu.com/p/421572915
pytorch google-research-football reinforcement-learning multi-agent-reinforcement-learning

tensorswarm / tensorswarm
multi-agent-reinforcement-learning,TensorSwarm: A framework for reinforcement learning of robot swarms.
Organization: tensorswarm
multi-agent multi-agent-reinforcement-learning reinforcement-learning reinforcement-learning-algorithms robotics swarm-intelligence-algorithms swarm-robotics tensorflow

unrealtracking / tom2c
multi-agent-reinforcement-learning,The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .
Organization: unrealtracking
theory-of-mind multi-agent-communication multi-agent-cooperation multi-agent-reinforcement-learning

yangchen1997 / multi-agent-reinforcement-learning
multi-agent-reinforcement-learning,PyTorch implements multi-agent reinforcement learning algorithms, including QMIX, Independent PPO, Centralized PPO, Grid Wise Control, Grid Wise Control+PPO, Grid Wise Control+DDPG.
User: yangchen1997
multi-agent-reinforcement-learning pettingzoo pytorch qmix centralized-ppo grid-wise-control independent-ppo

ying-wen / malib_deprecated
multi-agent-reinforcement-learning,A Multi-agent Learning Framework
User: ying-wen
multi-agent-reinforcement-learning reinforcement-learning

yiqinyang / icq
multi-agent-reinforcement-learning,Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)
User: yiqinyang
deep-reinforcement-learning deep-rl multi-agent-reinforcement-learning mutli-agent offline pytorch reinforcement-learning