Cover Image

EvoMem: Improving Multi-Agent Planning with Dual-Evolving Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Wenzhe, Yan, Ning, Mortazavi, Masood
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
by: Li, Wenzhe, et al.
Published: (2024)

Agent-Oriented Planning in Multi-Agent Systems
by: Li, Ao, et al.
Published: (2024)

Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation
by: Ma, Xiaowen, et al.
Published: (2025)

PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement
by: Zhang, Tuo, et al.
Published: (2026)

MUSE-Autoskill: Self-Evolving Agents via Skill Creation, Memory, Management, and Evaluation
by: Lin, Huawei, et al.
Published: (2026)

Online Relational Inference for Evolving Multi-agent Interacting Systems
by: Kang, Beomseok, et al.
Published: (2024)

SocialGrid: A Benchmark for Planning and Social Reasoning in Embodied Multi-Agent Systems
by: Shindo, Hikaru, et al.
Published: (2026)

Dynamic Speculative Agent Planning
by: Guan, Yilin, et al.
Published: (2025)

Behind EvoMap: Characterizing a Self-Evolving Agent-to-Agent Collaboration Network
by: Ye, Qiming, et al.
Published: (2026)

BrainMem: Brain-Inspired Evolving Memory for Embodied Agent Task Planning
by: Ma, Xiaoyu, et al.
Published: (2026)

FORGE: Self-Evolving Agent Memory With No Weight Updates via Population Broadcast
by: Bogdanov, Igor, et al.
Published: (2026)

MemArchitect: A Policy Driven Memory Governance Layer
by: Kumar, Lingavasan Suresh, et al.
Published: (2026)

PeerGuard: Defending Multi-Agent Systems Against Backdoor Attacks Through Mutual Reasoning
by: Fan, Falong, et al.
Published: (2025)

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

HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
by: Zhu, Yinghao, et al.
Published: (2025)

A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research
by: Wang, Yunzhe, et al.
Published: (2025)

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments
by: Li, Xinran, et al.
Published: (2025)

Detecting Multi-Agent Collusion Through Multi-Agent Interpretability
by: Rose, Aaron, et al.
Published: (2026)

Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning
by: Gerstgrasser, Matthias, et al.
Published: (2023)

Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models
by: Zhang, Yang, et al.
Published: (2024)

Verification-Aware Planning for Multi-Agent Systems
by: Xu, Tianyang, et al.
Published: (2025)

Efficient Multi-agent Reinforcement Learning by Planning
by: Liu, Qihan, et al.
Published: (2024)

Evaluating and Improving Graph-based Explanation Methods for Multi-Agent Coordination
by: Kailas, Siva, et al.
Published: (2025)

StructMem: Structured Memory for Long-Horizon Behavior in LLMs
by: Xu, Buqiang, et al.
Published: (2026)

Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
by: Rezazadeh, Alireza, et al.
Published: (2025)

MasHost Builds It All: Autonomous Multi-Agent System Directed by Reinforcement Learning
by: Yang, Kuo, et al.
Published: (2025)

GoAgent: Group-of-Agents Communication Topology Generation for LLM-based Multi-Agent Systems
by: Chen, Hongjiang, et al.
Published: (2026)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)

Context Learning for Multi-Agent Discussion
by: Hua, Xingyuan, et al.
Published: (2026)

A Subgoal-driven Framework for Improving Long-Horizon LLM Agents
by: Wang, Taiyi, et al.
Published: (2026)

Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)

A Roadmap Towards Improving Multi-Agent Reinforcement Learning With Causal Discovery And Inference
by: Briglia, Giovanni, et al.
Published: (2025)

Distributed Multi-Agent Coordination Using Multi-Modal Foundation Models
by: Mahmud, Saaduddin, et al.
Published: (2025)

CAMAR: Continuous Actions Multi-Agent Routing
by: Pshenitsyn, Artem, et al.
Published: (2025)

Learning Progress Driven Multi-Agent Curriculum
by: Zhao, Wenshuai, et al.
Published: (2022)

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
by: Han, Dongge, et al.
Published: (2025)

Norm-Governed Multi-Agent Decision-Making in Simulator-Coupled Environments:The Reinsurance Constrained Multi-Agent Simulation Process (R-CMASP)
by: Dong, Stella C.
Published: (2025)

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)

Large Language Models Miss the Multi-Agent Mark
by: La Malfa, Emanuele, et al.
Published: (2025)

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