"multi-agent systems" Papers

AgentBreeder: Mitigating the AI Safety Risks of Multi-Agent Scaffolds via Self-Improvement

J Rosser, Jakob Foerster

Agent-Oriented Planning in Multi-Agent Systems

Ao LI, Yuexiang Xie, Songze Li et al.

Agents' Room: Narrative Generation through Multi-step Collaboration

Fantine Huot, Reinald Kim Amplayo, Jennimaria Palomaki et al.

(Almost Full) EFX for Three (and More) Types of Agents

Pratik Ghosal, Vishwa Prakash HV, Prajakta Nimbhorkar et al.

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection

Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.

Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks

Wentao Deng, Jiahuan Pei, Zhiwei Xu et al.

ComfyBench: Benchmarking LLM-based Agents in ComfyUI for Autonomously Designing Collaborative AI Systems

Xiangyuan Xue, Zeyu Lu, Di Huang et al.

Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems

Guibin Zhang, Yanwei Yue, Zhixun Li et al.

Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games

Yixuan Even Xu, Zhe Feng, Fei Fang

Do as We Do, Not as You Think: the Conformity of Large Language Models

Zhiyuan Weng, Guikun Chen, Wenguan Wang

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity

Zhen Qin, Zhuqing Liu, Songtao Lu et al.

Fleet of Agents: Coordinated Problem Solving with Large Language Models

Lars Klein, Nearchos Potamitis, Roland Aydin et al.

Graph Neural Networks Gone Hogwild

Olga Solodova, Nick Richardson, Deniz Oktay et al.

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models

Logan Cross, Violet Xiang, Agam Bhatia et al.

HYPRL: Reinforcement Learning of Control Policies for Hyperproperties

Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

Hancheng Ye, Zhengqi Gao, Mingyuan Ma et al.

Learning to Communicate Through Implicit Communication Channels

Han Wang, Binbin Chen, zhang et al.

Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve

Yuanzhe Liu, Ryan Deng, Tim Kaler et al.

MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL

Arian Askari, Christian Poelitz, Xinye Tang

MALT: Improving Reasoning with Multi-Agent LLM Training

Sumeet Ramesh Motwani, Chandler Smith, Rocktim Jyoti Das et al.

Many LLMs Are More Utilitarian Than One

Anita Keshmirian, Razan Baltaji, Babak Hemmatian et al.

MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems

Xuanming Zhang, Yuxuan Chen, Samuel (Min-Hsuan) Yeh et al.

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Haoyang Fang, Boran Han, Nick Erickson et al.

Multi-Agent Systems Execute Arbitrary Malicious Code

Harold Triedman, Rishi Dev Jha, Vitaly Shmatikov

Multi-Apartment Rent Division

Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang

MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks

WANTONG XIE, Yi-Xiang Hu, Jieyang Xu et al.

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

Zongkai Liu, Qian Lin, Chao Yu et al.

Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents

Jessica Woodgate, Paul Marshall, Nirav Ajmeri

Optimally Solving Simultaneous-Move Dec-POMDPs: The Sequential Central Planning Approach

Johan Peralez, Aurélien Delage, Jacopo Castellini et al.

Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception

Zihan Ding, Jiahui Fu, Si Liu et al.

Probabilistic Strategy Logic with Degrees of Observability

Chunyan Mu, Nima Motamed, Natasha Alechina et al.

Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays

Songchen Fu, Siang Chen, Shaojing Zhao et al.

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

Wanjia Zhao, Mert Yuksekgonul, Shirley Wu et al.

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics

Lorenzo Magnino, Kai Shao, Zida Wu et al.

Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation

Chenyu Zhang, Xu Chen, Xuan Di

Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients

Yuxing Lu, Gecheng Fu, Wei Wu et al.

Towards Principled Unsupervised Multi-Agent Reinforcement Learning

Riccardo Zamboni, Mirco Mutti, Marcello Restelli

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Jianming Chen, Yawen Wang, Junjie Wang et al.

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast

Xiangming Gu, Xiaosen Zheng, Tianyu Pang et al.

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov, Qin Zhang

CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents

Qinlin Zhao, Jindong Wang, Yixuan Zhang et al.

Configurable Mirror Descent: Towards a Unification of Decision Making

Pengdeng Li, Shuxin Li, Chang Yang et al.

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading

Molei Qin, Shuo Sun, Wentao Zhang et al.

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs

Tianyuan Jin, Hao-Lun Hsu, William Chang et al.

IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception

Shaohong Wang, Lu Bin, Xinyu Xiao et al.

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies

Alex DeWeese, Guannan Qu

On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing

Raven Beutner, Bernd Finkbeiner

Responsibility in Extensive Form Games

Sequential Asynchronous Action Coordination in Multi-Agent Systems: A Stackelberg Decision Transformer Approach

Bin Zhang, Hangyu Mao, Lijuan Li et al.