:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Algazinov, Aleksandr, Laing, Matt, Laban, Paul
Format:	Preprint
Published:	2025
Subjects:	Multiagent Systems Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2506.19502
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

ChipMATE: Multi-Agent Training via Reinforcement Learning for Enhanced RTL Generation
by: Yu, Zhongkai, et al.
Published: (2026)

MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
by: Andreychuk, Anton, et al.
Published: (2024)

Advancing Learnable Multi-Agent Pathfinding Solvers with Active Fine-Tuning
by: Andreychuk, Anton, et al.
Published: (2025)

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Pathfinding
by: Skrynnik, Alexey, et al.
Published: (2024)

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
by: Jiang, Yixing, et al.
Published: (2025)

Learning to Communicate Locally for Large-Scale Multi-Agent Pathfinding
by: Vyaltsev, Valeriy, et al.
Published: (2026)

Language-Driven Coordination and Learning in Multi-Agent Simulation Environments
by: Li, Zhengyang, et al.
Published: (2025)

Scaling Multi-Agent Environment Co-Design with Diffusion Models
by: Li, Hao Xiang, et al.
Published: (2025)

JaxMARL: Multi-Agent RL Environments and Algorithms in JAX
by: Rutherford, Alexander, et al.
Published: (2023)

MADQRL: Distributed Quantum Reinforcement Learning Framework for Multi-Agent Environments
by: Sawaika, Abhishek, et al.
Published: (2026)

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

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)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
by: Bae, Sangjun, et al.
Published: (2026)

Multi-Agent Path Finding via Offline RL and LLM Collaboration
by: Atasever, Merve, et al.
Published: (2025)

OMAC: A Holistic Optimization Framework for LLM-Based Multi-Agent Collaboration
by: Li, Shijun, et al.
Published: (2025)

Active Learning for Communication Structure Optimization in LLM-Based Multi-Agent Systems
by: Yang, Huchen, et al.
Published: (2026)

Belief Engine: Configurable and Inspectable Stance Dynamics in Multi-Agent LLM Deliberation
by: Yang, Joshua C., et al.
Published: (2026)

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
by: Wang, Zhao, 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)

DialogGuard: Multi-Agent Psychosocial Safety Evaluation of Sensitive LLM Responses
by: Luo, Han, et al.
Published: (2025)

Modèles de Substitution pour les Modèles à base d'Agents : Enjeux, Méthodes et Applications
by: Saves, Paul, et al.
Published: (2025)

Topological Structure Learning Should Be A Research Priority for LLM-Based Multi-Agent Systems
by: Yang, Jiaxi, et al.
Published: (2025)

EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
by: Molinari, Gioele, et al.
Published: (2026)

CleanAgent: Automating Data Standardization with LLM-based Agents
by: Qi, Danrui, et al.
Published: (2024)

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

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
by: Barde, Paul, et al.
Published: (2023)

LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement Learning
by: Wei, Yuan, et al.
Published: (2025)

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

AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)

Proactive Agent Research Environment: Simulating Active Users to Evaluate Proactive Assistants
by: Nathani, Deepak, et al.
Published: (2026)

Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM Systems
by: Gupta, Abhivansh
Published: (2025)

Optimizing Multi-Lane Intersection Performance in Mixed Autonomy Environments
by: Sekar, Manonmani, et al.
Published: (2025)

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)

Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings
by: Taylor, Russell, et al.
Published: (2025)

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

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

ANNEAL: Adapting LLM Agents via Governed Symbolic Patch Learning
by: Hakim, Safayat Bin, et al.
Published: (2026)

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