Topic: multi-agent Goto Github

Some thing interesting about multi-agent

👇 Here are 238 public repositories matching this topic...

abhisheknaik96 / multiagenttorcs

multi-agent,The multi-agent version of TORCS for developing control algorithms for fully autonomous driving in the cluttered, multi-agent settings of everyday life.

User: abhisheknaik96

reinforcement-learning multi-agent self-driving-car autonomous-vehicles torcs

agilerl / agilerl

multi-agent,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

multi-agent,agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications. Furthermore, through the community, they can exchange and share practices of patterns across different domains.

Organization: alipay

agent ai llm multi-agent python awesome awesome-list ai-agents ai-agents-framework

arnaudfickinger / gym-multigrid

multi-agent,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

bark-simulator / bark

multi-agent,Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving

Organization: bark-simulator

Home Page: https://bark-simulator.github.io/

artificial-intelligence autonomous-driving autonomous-vehicles bark bark-simulator benchmark deep-reinforcement-learning machine-learning multi-agent reinforcement-learning research robotics self-driving-car simulation simulator verification

by571 / deep-reinforcement-learning-algorithm-collection

multi-agent,Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

User: by571

reinforcement-learning reinforcement-learning-algorithms soft-actor-critic ppo dqn ddpg policy-gradient actor-critic curiosity library

casibase / casibase

multi-agent,Spising: ⚡️Open-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSO⚡️, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, Grok, etc., chat bot demo: https://demo.casibase.com, admin UI demo: https://demo-admin.casibase.com

Organization: casibase

Home Page: https://casibase.org

ai chatgpt gpt knowledge-base casibase langchain claude huggingface openai chatbot

chenglongchen / pytorch-drl

multi-agent,PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.

User: chenglongchen

pytorch deep-reinforcement-learning multi-agent deep-q-network actor-critic advantage-actor-critic a2c proximal-policy-optimization ppo deep-deterministic-policy-gradient

codefuse-ai / codefuse-chatbot

multi-agent,An intelligent assistant serving the entire software development lifecycle, powered by a Multi-Agent Framework, working with DevOps Toolkits, Code&Doc Repo RAG, etc.

Organization: codefuse-ai

multi-agent tool-learning aiops code-repo-analysis code-repo-generation devops gpt knowledge-graph rag chatbot

datamllab / awesome-game-ai

multi-agent,Awesome Game AI materials of Multi-Agent Reinforcement Learning

Organization: datamllab

reinforcement-learning game-ai imperfect-information-games awesome multi-agent ai

datamllab / rlcard

multi-agent,Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Organization: datamllab

Home Page: http://www.rlcard.org

reinforcement-learning deep-reinforcement-learning game-ai poker card-game poker-game openai-gym gym-environment card-games blackjack

decisionforce / pgdrive

multi-agent,PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

Organization: decisionforce

Home Page: https://decisionforce.github.io/pgdrive/

autonomous-driving reinforcement-learning machine-learning simulator procedural-generation imitation-learning generalization deep-learning simulation computer-vision

disler / indydevtools

multi-agent,An opinionated, Agentic Engineering toolbox powered by LLM Agents to solve problems autonomously.

User: disler

Home Page: https://pypi.org/project/indydevtools/

agentic agents indydevtools llm multi-agent

eiichiroito / novastelo

multi-agent,Block-style programming environment for multi agent system, based on MIT Scratch.

User: eiichiroito

multi-agent pharo scratch smalltalk starlogo termites turtles

evoplex / evoplex

multi-agent,Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

Organization: evoplex

Home Page: https://evoplex.org

multi-agent agent graph cross-platform evolutionary-game-theory evolutionary-computation evolutionary-algorithms evolution-simulator monte-carlo-simulation agent-based-simulation

facebookresearch / benchmarl

multi-agent,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

farama-foundation / chatarena

multi-agent,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/

large-language-models multi-agent natural-language-processing multi-agent-reinforcement-learning multi-agent-simulation ai python artificial-intelligence chatgpt gpt-4

fetchai / agents-aea

multi-agent,A framework for autonomous economic agent (AEA) development

Organization: fetchai

Home Page: https://docs.fetch.ai/aea/

multi-agent-systems multi-agent aea autonomous-economic-agents agent-framework cryptocurrency cryptocurrencies decentralized decentralized-network fetch-ai

fsoft-ai4code / repopilot

multi-agent,Repo-Level Coding Assistant that Can Understand Your Whole Codebase

Organization: fsoft-ai4code

code-generation code-understanding codellm coding-assistant multi-agent repo-level repository codellms

garlicdevs / fruit-api

multi-agent,A Universal Deep Reinforcement Learning Framework

User: garlicdevs

Home Page: http://fruitlab.org/

reinforcement-learning reinforcement-learning-algorithms multiplayer-game deep-reinforcement-learning deep-learning multi-agent-reinforcement-learning multi-agent multi-objective-optimization human games

geek-ai / magent

multi-agent,A Platform for Many-Agent Reinforcement Learning

Organization: geek-ai

reinforcement-learning multi-agent deep-learning

geekan / metagpt

multi-agent,🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

User: geekan

Home Page: https://deepwisdom.ai/

agent gpt llm metagpt hacktoberfest multi-agent

google-deepmind / concordia

multi-agent,A library for generative social simulation

Organization: google-deepmind

agent-based-simulation generative-agents multi-agent social-simulation

gtri / scrimmage

multi-agent,Multi-Agent Robotics Simulator

Organization: gtri

Home Page: https://www.scrimmagesim.org

multi-agent robotics simulation

inhwanbae / eigentrajectory

multi-agent,Official Code for "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting (ICCV 2023)"

User: inhwanbae

Home Page: https://ihbae.com/publication/eigentrajectory/

deep-learning eigen-vector-decomposition singular-value-decomposition autonomous-vehicles human-trajectory-prediction iccv2023 motion-forecasting multi-agent

inspirai / timechamber

multi-agent,A Massively Parallel Large Scale Self-Play Framework

Organization: inspirai

deep-reinforcement-learning isaac-gym reinforcement-learning self-play multi-agent

jenqyang / awesome-ai-agents

multi-agent,A collection of autonomous agents 🤖️ powered by LLM.

User: jenqyang

agent agents llm llm-powered-agents multi-agent

jlin816 / dialop

multi-agent,DialOp: Decision-oriented dialogue environments for collaborative language agents

User: jlin816

Home Page: https://collaborative-dialogue.github.io

ai artificial-intelligence dialogue gpt-3 large-language-models multi-agent natural-language-processing agent llm llm-agent

josefalbers / roy

multi-agent,Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.

User: josefalbers

agent agentgpt autogpt baby-agi chat chatbot code-generation code-generator gpt langchain

koulanurag / ma-gym

multi-agent,A collection of multi agent environments based on OpenAI gym.

User: koulanurag

Home Page: https://github.com/koulanurag/ma-gym/wiki

gym multi-agent openai-gym reinforcement-learning environment collaborative

kyegomez / awesome-multi-agent-papers

multi-agent,A compilation of the best multi-agent papers

User: kyegomez

Home Page: https://discord.gg/GYbXvDGevY

agents attention autonomous-agents llms multi-agent multiagent swarms transformers swarms-of-agents agents-team

libraryofcelsus / aetherius_ai_assistant

multi-agent,A completely private, locally-operated Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Open Source LLMs. Qdrant is used for the Vector DB.

User: libraryofcelsus

Home Page: https://www.libraryofcelsus.com/aetherius/

ai assistant chatbot customizable gpt-4 long-term-memory companion voice-assistant gpt research

marlbenchmark / on-policy

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

Organization: marlbenchmark

Home Page: https://sites.google.com/view/mappo

hanabi mappo smac mpes starcraftii ppo multi-agent algorithms

metauto-ai / gptswarm

multi-agent,🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

Organization: metauto-ai

Home Page: https://gptswarm.org

agent ai gpt python reinforcement-learning self-improvement swarm-intelligence multi-agent society-of-mind

microsoft / maro

multi-agent,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

mit-acl / mader

multi-agent,Trajectory Planner in Multi-Agent and Dynamic Environments

Organization: mit-acl

optimization path-planning trajectory-optimization multi-agent obstacle-avoidance minvo mader planner ros

modelscope / agentscope

multi-agent,Start building LLM-empowered multi-agent applications in an easier way.

Organization: modelscope

Home Page: https://modelscope.github.io/agentscope/

agent chatbot gpt-4 large-language-models llm llm-agent multi-agent distributed-agents multi-modal llama3

multi-commander / multi-commander

multi-agent,Multi & Single Agent Reinforcement Learning for Traffic Signal Control Problem

Organization: multi-commander

reinforcement-learning cityflow deecamp traffic-signal-control multi-agent ray

opendilab / ace

multi-agent,[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 / gobigger

multi-agent,[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.

Organization: opendilab

Home Page: https://gobigger.readthedocs.io/en/latest/

python reinforcement-learning multi-agent environment gym league game rl-environment

opendilab / gobigger-explore

multi-agent,Still struggling with the high threshold or looking for the appropriate baseline? Come here and new starters can also play with your own multi-agents!

Organization: opendilab

multi-agent reinforcement-learning

pathplanning / aa-sipp-m

multi-agent,Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.

Organization: pathplanning

sipp pathplanning pathfinding multi-agent mapf any-angle

pathplanning / continuous-cbs

multi-agent,Continuous CBS - a modification of conflict based search algorithm, that allows to perform actions (move, wait) of arbitrary duration. Timeline is not discretized, i.e. is continuous.

Organization: pathplanning

mapf cbs conflict-based-search multi-agent pathfinding pathplanning

proroklab / vectorizedmultiagentsimulator

multi-agent,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

semitable / robotic-warehouse

multi-agent,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

tensorswarm / tensorswarm

multi-agent,TensorSwarm: A framework for reinforcement learning of robot swarms.

Organization: tensorswarm

reinforcement-learning reinforcement-learning-algorithms swarm-robotics swarm-intelligence-algorithms tensorflow robotics multi-agent multi-agent-reinforcement-learning