:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xiaolong, Yin, Yu, Liu, Jiahang, Shen, Xingyu, Lu, Jingzhe, Ni, Fengxiao, Fan, Fan, Sang
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Multiagent Systems
Online Access:	https://arxiv.org/abs/2605.19748
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)

CADDesigner: Conceptual CAD Model Generation with a General-Purpose Agent
by: Fan, Fengxiao, et al.
Published: (2025)

RLCAD: Reinforcement Learning Training Gym for Revolution Involved CAD Command Sequence Generation
by: Yin, Xiaolong, et al.
Published: (2025)

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning
by: Xu, Zhiwei, et al.
Published: (2024)

Large Language Model Powered Intelligent Urban Agents: Concepts, Capabilities, and Applications
by: Han, Jindong, et al.
Published: (2025)

Toward Dependency Dynamics in Multi-Agent Reinforcement Learning for Traffic Signal Control
by: Zhang, Yuli, et al.
Published: (2025)

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration
by: Guo, Xudong, et al.
Published: (2024)

AIR: Unifying Individual and Collective Exploration in Cooperative Multi-Agent Reinforcement Learning
by: Zhou, Guangchong, et al.
Published: (2024)

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
by: Liu, Zeyang, et al.
Published: (2024)

Heterogeneity in Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2025)

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning
by: Li, Simin, et al.
Published: (2025)

Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
by: Yu, Zhongming, et al.
Published: (2026)

AIvilization v0: Toward Large-Scale Artificial Social Simulation with a Unified Agent Architecture and Adaptive Agent Profiles
by: Fan, Wenkai, et al.
Published: (2026)

EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory
by: Fan, Wenzhe, et al.
Published: (2025)

Memory Intelligence Agent
by: Qiao, Jingyang, et al.
Published: (2026)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
by: Yin, Qiyue, et al.
Published: (2022)

Multicopy Reinforcement Learning Agents
by: Wolfe, Alicia P., et al.
Published: (2023)

Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning
by: Li, Dapeng, et al.
Published: (2024)

GAAMA: Graph Augmented Associative Memory for Agents
by: Paul, Swarna Kamal, et al.
Published: (2026)

Causal Mean Field Multi-Agent Reinforcement Learning
by: Ma, Hao, et al.
Published: (2025)

OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents
by: Yan, Yuwei, et al.
Published: (2024)

Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning via Incorporating Generalized Human Expertise
by: Wu, Xuefei, et al.
Published: (2025)

Hera: Learning Long-Horizon Coordination for Device-Cloud Collaborative LLM Agents
by: Zhang, Yuxin, et al.
Published: (2026)

Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
by: Du, Haikuo, et al.
Published: (2025)

Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2026)

MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
by: Wu, Chuanjie, et al.
Published: (2026)

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents
by: Tan, Weiting, et al.
Published: (2025)

Agent-GSPO: Communication-Efficient Multi-Agent Systems via Group Sequence Policy Optimization
by: Fan, Yijia, et al.
Published: (2025)

SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology
by: Nie, Zheng, et al.
Published: (2026)

OPTAGENT: Optimizing Multi-Agent LLM Interactions Through Verbal Reinforcement Learning for Enhanced Reasoning
by: Bi, Zhenyu, et al.
Published: (2025)

Retrieval-Augmented Multi-Agent System for Rapid Statement of Work Generation
by: Suravarjhula, Amulya, et al.
Published: (2025)

Measuring Policy Distance for Multi-Agent Reinforcement Learning
by: Hu, Tianyi, et al.
Published: (2024)

Multi-Agent Reinforcement Learning with Communication-Constrained Priors
by: Yang, Guang, et al.
Published: (2025)

AOI: Context-Aware Multi-Agent Operations via Dynamic Scheduling and Hierarchical Memory Compression
by: Bai, Zishan, et al.
Published: (2025)

SafeAgent: A Runtime Protection Architecture for Agentic Systems
by: Liu, Hailin, et al.
Published: (2026)

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

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization
by: Shen, Siqi, et al.
Published: (2023)

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning
by: Liu, Shunyu, et al.
Published: (2022)

Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
by: Rudd-Jones, James, et al.
Published: (2025)

Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
by: Duan, Wei, et al.
Published: (2024)