Cover Image

COMBO: Compositional World Models for Embodied Multi-Agent Cooperation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Hongxin, Wang, Zeyuan, Lyu, Qiushi, Zhang, Zheyuan, Chen, Sunli, Shu, Tianmin, Dariush, Behzad, Lee, Kwonjoon, Du, Yilun, Gan, Chuang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Multiagent Systems
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
by: Du, Weihua, et al.
Published: (2024)

Sentinel: Embodied Cooperative Spatial Reasoning and Planning
by: Lin, Xiangye, et al.
Published: (2026)

Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees
by: Gupta, Piyush, et al.
Published: (2025)

Building Cooperative Embodied Agents Modularly with Large Language Models
by: Zhang, Hongxin, et al.
Published: (2023)

GOMA: Proactive Embodied Cooperative Communication via Goal-Oriented Mental Alignment
by: Ying, Lance, et al.
Published: (2024)

COCO: Cognitive Operating System with Continuous Oversight for Multi-Agent Workflow Reliability
by: Liang, Churong, et al.
Published: (2025)

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
by: Liu, Jie, et al.
Published: (2024)

Safe and Interpretable Multimodal Path Planning for Multi-Agent Cooperation
by: Shi, Haojun, et al.
Published: (2026)

Ella: Embodied Social Agents with Lifelong Memory
by: Zhang, Hongxin, et al.
Published: (2025)

Aligning Individual and Collective Objectives in Multi-Agent Cooperation
by: Li, Yang, et al.
Published: (2024)

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
by: Lou, Xingzhou, et al.
Published: (2023)

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Junkai, et al.
Published: (2024)

The Composite Task Challenge for Cooperative Multi-Agent Reinforcement Learning
by: Li, Yurui, et al.
Published: (2025)

From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models
by: Akin, Sureyya, et al.
Published: (2025)

Heterogeneous Value Decomposition Policy Fusion for Multi-Agent Cooperation
by: Wang, Siying, et al.
Published: (2025)

HAMLET: A Hierarchical and Adaptive Multi-Agent Framework for Live Embodied Theatrics
by: Jiang, Shufan, et al.
Published: (2025)

Embodied Multi-Agent Coordination by Aligning World Models Through Dialogue
by: Dongre, Vardhan, et al.
Published: (2026)

MindZero: Learning Online Mental Reasoning With Zero Annotations
by: Zhang, Shunchi, et al.
Published: (2026)

Sequence Pathfinder for Multi-Agent Pickup and Delivery in the Warehouse
by: Zhao, Zeyuan, et al.
Published: (2025)

Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
by: Liu, Ning, et al.
Published: (2025)

Optimistic ε-Greedy Exploration for Cooperative Multi-Agent Reinforcement Learning
by: Zhang, Ruoning, et al.
Published: (2025)

Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems
by: Liu, Qi, et al.
Published: (2026)

COMPASS: Cooperative Multi-Agent Persistent Monitoring using Spatio-Temporal Attention Network
by: Zhang, Xingjian, et al.
Published: (2025)

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems
by: Zhang, Zhuohui, et al.
Published: (2024)

HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication
by: Zhang, Heng, et al.
Published: (2025)

CGoT: A Novel Inference Mechanism for Embodied Multi-Agent Systems Using Composable Graphs of Thoughts
by: Nie, Yixiao, et al.
Published: (2025)

Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis
by: Paschalidis, Phevos, et al.
Published: (2024)

Embodied LLM Agents Learn to Cooperate in Organized Teams
by: Guo, Xudong, et al.
Published: (2024)

Multi-Agent Coordination via Multi-Level Communication
by: Ding, Ziluo, et al.
Published: (2022)

A Group Consensus-Driven Auction Algorithm for Cooperative Task Allocation Among Heterogeneous Multi-Agents
by: Wang, Gang, et al.
Published: (2025)

GAWM: Global-Aware World Model for Multi-Agent Reinforcement Learning
by: Shi, Zifeng, et al.
Published: (2025)

Improving Cooperation in Collaborative Embodied AI
by: Suprabha, Hima Jacob Leven, et al.
Published: (2025)

Graphon Mean-Field Control for Cooperative Multi-Agent Reinforcement Learning
by: Hu, Yuanquan, et al.
Published: (2022)

Addressing Situated Teaching Needs: A Multi-Agent Framework for Automated Slide Adaptation
by: Liu, Binglin, et al.
Published: (2025)

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments
by: Zhou, Qinhong, et al.
Published: (2024)

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication
by: Li, Huao, et al.
Published: (2024)

RAI: Flexible Agent Framework for Embodied AI
by: Rachwał, Kajetan, et al.
Published: (2025)

How Exploration Breaks Cooperation in Shared-Policy Multi-Agent Reinforcement Learning
by: Weng, Yi-Ning, et al.
Published: (2026)

ProToM: Promoting Prosocial Behaviour via Theory of Mind-Informed Feedback
by: Bortoletto, Matteo, et al.
Published: (2025)

Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)