Projects in Awesome Lists tagged with multi-agent-reinforcement-learning

https://github.com/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

Last synced: 16 Dec 2024

https://github.com/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

Last synced: 06 Nov 2024

https://github.com/pytorch/rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

ai control decision-making distributed-computing machine-learning marl model-based-reinforcement-learning multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch

Last synced: 21 Dec 2024

https://github.com/farama-foundation/chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

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

Last synced: 21 Dec 2024

https://github.com/Farama-Foundation/chatarena

ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

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

Last synced: 02 Nov 2024

https://github.com/microsoft/maro

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

agent citi-bike docker finance inventory-management logistics maro multi-agent multi-agent-reinforcement-learning operations-research raas reinforcement-learning resource-optimization rl-algorithms simulator transportation

Last synced: 20 Dec 2024

https://github.com/Replicable-MARL/MARLlib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

deep-reinforcement-learning multi-agent-reinforcement-learning pytorch ray rllib

Last synced: 30 Oct 2024

https://github.com/instadeepai/Mava

🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

jax marl multi-agent-reinforcement-learning multi-agent-systems multiagent reinforcement-learning research

Last synced: 07 Nov 2024

https://github.com/agilerl/agilerl

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

agilerl automl deep-learning deep-reinforcement-learning distributed evolutionary-algorithms gym hpo hyperparameter-optimization hyperparameter-tuning machine-learning mlops multi-agent multi-agent-reinforcement-learning pettingzoo python pytorch reinforcement-learning rlops training

Last synced: 22 Dec 2024

https://github.com/praveen-palanisamy/macad-gym

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:

autonomous-driving carla carla-driving-simulator carla-gym carla-reinforcement-learning carla-rl carla-simulator deep-reinforcement-learning gym-environments macad-gym multi-agent-autonomous-driving multi-agent-reinforcement-learning

Last synced: 21 Dec 2024

https://github.com/opendilab/di-engine-docs

DI-engine docs (Chinese and English)

deep-learning imitation-learning inverse-reinforcement-learning model-based-reinforcement-learning multi-agent-reinforcement-learning offline-rl pytorch-rl reinforcement-learning reinforcement-learning-algorithms

Last synced: 19 Dec 2024

https://github.com/semitable/robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

environment multi-agent multi-agent-reinforcement-learning multi-agent-systems reinforcement-learning robotics simulation

Last synced: 29 Oct 2024

https://github.com/allenpandas/reinforcement-learning-papers

📚 List of Top-tier Conference Papers on Reinforcement Learning (RL)，including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.

aaai artificial-intelligence deep-reinforcement-learning dqn hierarchical-reinforcement-learning icml ijcai imitation-learning meta-reinforcement-learning multi-agent-reinforcement-learning neurips offline-reinforcement-learning policy-gradient q-learning reinforcement-learning reinforcement-learning-conferences reinforcement-learning-conferences-papers reinforcement-learning-paper reinforcement-learning-papers rl-papers

Last synced: 23 Nov 2024

https://github.com/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

Last synced: 09 Nov 2024

https://github.com/facebookresearch/benchmarl

A collection of MARL benchmarks based on TorchRL

benchmark machine-learning marl multi-agent multi-agent-reinforcement-learning pytorch reinforcement-learning rl robotics torch

Last synced: 16 Dec 2024

https://github.com/chauncygu/multi-agent-constrained-policy-optimisation

Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).

multi-agent-reinforcement-learning policy-optimization safe-reinforcement-learning

Last synced: 04 Dec 2024

https://github.com/stefanbschneider/mobile-env

An open, minimalist Gymnasium environment for autonomous coordination in wireless mobile networks.

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

Last synced: 18 Dec 2024

https://github.com/ffelten/masac

Jax and Torch Multi-Agent SAC on PettingZoo API

multi-agent-reinforcement-learning pettingzoo reinforcement-learning

Last synced: 30 Nov 2024

https://github.com/allenpandas/tutorial4rl

Tutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.

a3c ddpg deep-reinforcement-learning dqn inverse-reinforcement-learning multi-agent-reinforcement-learning multi-agent-systems policy-gradient qlearning reinforcement-learning reinforcementlearning-tutorial rl-tutorial sarsa tutorial

Last synced: 23 Nov 2024

https://github.com/CN-UPB/DeepCoMP

Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

cell-selection cellular comp mobile multi-agent-reinforcement-learning ppo python ray reinforcement-learning rllib simulation wireless

Last synced: 18 Nov 2024

https://github.com/chauncygu/safe-multi-agent-isaac-gym

Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.

benchmark multi-agent-reinforcement-learning robotics safe-reinforcement-learning

Last synced: 04 Dec 2024

https://github.com/coac/commnet-bicnet

CommNet and BiCnet implementation in tensorflow

multi-agent-reinforcement-learning reinforcement-learning tensorflow

Last synced: 03 Dec 2024

https://github.com/chauncygu/Safe-Multi-Agent-Isaac-Gym

Safe Multi-Agent Isaac Gym benchmark for safe multi-agent reinforcement learning research.

benchmark multi-agent-reinforcement-learning robotics safe-reinforcement-learning

Last synced: 03 Nov 2024

https://github.com/idsia/hhmarl_2d

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

air-combat heterogeneous-agents hierarchical-reinforcement-learning multi-agent-reinforcement-learning

Last synced: 11 Nov 2024

https://github.com/borealisai/pommerman-baseline

Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"

adversarial-search deep-reinforcement-learning multi-agent-reinforcement-learning pommerman reinforcement-learning

Last synced: 06 Nov 2024

https://github.com/ArthurFirmino/gym-battlesnake

Multi-agent reinforcement learning environment

c-plus-plus gym multi-agent-reinforcement-learning python reinforcement-learning

Last synced: 12 Nov 2024

https://github.com/xuehaipan/mate

MATE: the Multi-Agent Tracking Environment.

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

Last synced: 06 Dec 2024

https://github.com/hewlettpackard/dc-rl

SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.

battery-management benchmark benchmarking benchmarking-framework carbon-footprint cooling-optimization data-center data-center-management energy-efficiency gymnasium gymnasium-environment heterogeneous-reinforcement-learning machine-learning multi-agent-reinforcement-learning python reinforcement-learningmulti-agent-systems sustainability sustainable-computing workload-scheduling

Last synced: 11 Nov 2024

https://github.com/hijkzzz/noisy-mappo

Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

mappo multi-agent-reinforcement-learning smac sota

Last synced: 12 Nov 2024

https://github.com/j3soon/dfac

[ICML 2021] DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning

icml-2021 multi-agent-reinforcement-learning reinforcement-learning smac starcraft2

Last synced: 07 Dec 2024

https://github.com/praveen-palanisamy/macad-agents

Agents code for Multi-Agent Connected Autonomous Driving (MACAD) described in the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:

autonomous-agents autonomous-driving connected-vehicle deep-reinforcement-learning multi-agent multi-agent-reinforcement-learning

Last synced: 19 Nov 2024

https://github.com/salesforce/ai-economist

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).

ai deep-reinforcement-learning economics ml multi-agent multi-agent-reinforcement-learning python-3 reinforcement-learning-environments simulation-framework

Last synced: 07 Nov 2024

https://github.com/qasimwani/rl-unity

Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.

ddpg dqn-pytorch drl multi-agent-reinforcement-learning prioritized-experience-replay python3 pytorch td3 unity

Last synced: 07 Nov 2024

https://github.com/chauncygu/safe-multi-agent-robosuite

Safe Multi-Agent Robosuite benchmark for safe multi-agent reinforcement learning research.

benchmark multi-agent-reinforcement-learning robotics safe-reinforcement-learning

Last synced: 04 Dec 2024

https://github.com/51616/marl-lipo

Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)

iclr2023 multi-agent-reinforcement-learning reinforcement-learning

Last synced: 28 Oct 2024

https://github.com/giulic3/flatland-challenge-marl

Proposed solution to the Flatland challenge (https://www.aicrowd.com/challenges/flatland-challenge), solving the Vehicle Rescheduling Problem (VRSP) on trains using Multi-Agent-Reinforcement-Learning

deep-q-learning deep-reinforcement-learning multi-agent-reinforcement-learning pytorch

Last synced: 05 Nov 2024

https://github.com/allenpandas/2023-reinforcement-learning-conferences-papers

The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.

aaai-2023 aamas-2023 deep-reinforcement-learning deep-reinforcement-learning-paper deep-reinforcement-learning-papers hierarchical-reinforcement-learning iclr-2023 icml-2023 icra-2023 ijcai-2023 inverse-reinforcement-learning meta-reinforcement-learning multi-agent-reinforcement-learning neurips-2023 reinforcement-learning reinforcement-learning-paper reinforcement-learning-papers safe-reinforcement-learning

Last synced: 23 Nov 2024

https://github.com/vita-group/vgai

[IEEE TSIPN' 2022] "Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks", by Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Wenqing Zheng, Zhangyang Wang, Alejandro Ribeiro, and Brian M. Sadler

communication decentralized-applications decentralized-learning flocking-simulation graph-neural-networks learning-to-control multi-agent-reinforcement-learning