AI Agent - arXivDaily 专题

2410.22578 2024-10-31 cs.NI cs.AI cs.LG cs.MA cs.RO 88%

Energy-Aware Multi-Agent Reinforcement Learning for Collaborative Execution in Mission-Oriented Drone Networks

Ying Li, Changling Li, Jiyao Chen, Christine Roinou

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 2022 International Conference on Computer Communications and Networks

2304.00977 2024-10-31 cs.AI cs.LG cs.MA 88%

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning

Claude Formanek, Callum Rhys Tilbury, Jonathan Shock, Kale-ab Tessera, Arnu Pretorius

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted as oral presentation at Reincarnating Reinforcement Learning workshop at ICLR 2023

2410.22129 2024-10-30 cs.SE cs.AI 88%

Improving Performance of Commercially Available AI Products in a Multi-Agent Configuration

Cory Hymel, Sida Peng, Kevin Xu, Charath Ranganathan

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.SE

Comments 7 pages, 8 figures

2410.21741 2024-10-30 cs.CL cs.AI 88%

Enhancing Financial Question Answering with a Multi-Agent Reflection Framework

Sorouralsadat Fatemi, Yuheng Hu

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Accepted by ICAIF 24

2309.10980 2024-10-30 cs.LG cs.AI 88%

Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions

Thanveer Shaik, Xiaohui Tao, Lin Li, Haoran Xie, Hong-Ning Dai, Feng Zhao, Jianming Yong

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments This work has been submitted to the IEEE for possible publication. arXiv admin note: text overlap with arXiv:2309.10576

2410.19382 2024-10-29 cs.LG cs.AI cs.MA 88%

Multi-Agent Reinforcement Learning with Selective State-Space Models

Jemma Daniel, Ruan de Kock, Louay Ben Nessir, Sasha Abramowitz, Omayma Mahjoub, Wiem Khlifi, Claude Formanek, Arnu Pretorius

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 17 pages, 7 figures

2409.04286 2024-10-25 cs.AI cs.CL 88%

Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets

Desiree Heim, Christian Jilek, Adrian Ulges, Andreas Dengel

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Accepted and published (INFORMATIK Festival, Wiesbaden, 2024)

Journal ref INFORMATIK 2024

2406.07054 2024-10-25 cs.CL cs.AI 88%

CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation

Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments Accepted to the main conference of EMNLP 2024

2410.17373 2024-10-24 cs.LG cs.AI cs.MA 88%

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning

Dongsu Lee, Minhae Kwon

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2024 (Web: https://sites.google.com/view/eftm-neurips2024)

2410.16946 2024-10-24 cs.SE cs.AI cs.MA 88%

Self-Evolving Multi-Agent Collaboration Networks for Software Development

Yue Hu, Yuzhu Cai, Yaxin Du, Xinyu Zhu, Xiangrui Liu, Zijie Yu, Yuchen Hou, Shuo Tang, Siheng Chen

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.SE

Comments 25 pages

2410.02581 2024-10-23 cs.LG cs.AI 88%

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

Joshua McClellan, Naveed Haghani, John Winder, Furong Huang, Pratap Tokekar

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments accepted as a poster at NeurIPS 2024

2410.15221 2024-10-22 cs.LG cs.AI cs.MA cs.SY eess.SY 88%

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Vindula Jayawardana, Baptiste Freydt, Ao Qu, Cameron Hickert, Zhongxia Yan, Cathy Wu

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments In review

2410.08540 2024-10-14 cs.LG cs.AI cs.MA 88%

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning

Xinran Li, Ling Pan, Jun Zhang

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments Accepted by the Thirty-Eighth Annual Conference on Neural Information Processing Systems(NeurIPS 2024)

2410.07426 2024-10-11 cs.LG cs.AI cs.AR 88%

CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning

Kamil Khan, Sudeep Pasricha

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

2410.04452 2024-10-08 cs.CL cs.AI 88%

MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems

Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments 8 pages,7 figures,Our paper has been accepted for presentation at the 2024 European Conference on Artificial Intelligence (ECAI 2024)

2409.07246 2024-10-08 cs.CL cs.AI 88%

Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs

Firoj Alam, Md. Rafiul Biswas, Uzair Shah, Wajdi Zaghouani, Georgios Mikros

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments propaganda, hate-speech, disinformation, misinformation, fake news, LLMs, GPT-4, multimodality, multimodal LLMs

2410.02507 2024-10-04 cs.AI cs.CL 88%

Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration

Weikang Yuan, Junjie Cao, Zhuoren Jiang, Yangyang Kang, Jun Lin, Kaisong Song, tianqianjin lin, Pengwei Yan, Changlong Sun, Xiaozhong Liu

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

2410.02026 2024-10-04 cs.AI cs.CL 88%

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics

Yuan Zhou, Peng Zhang, Mengya Song, Alice Zheng, Yiwen Lu, Zhiheng Liu, Yong Chen, Zhaohan Xi

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

2404.03869 2024-10-03 cs.LG cs.AI cs.MA cs.RO cs.SY eess.SY 88%

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration

Xudong Guo, Daming Shi, Junjie Yu, Wenhui Fan

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

2407.00741 2024-10-01 cs.AI cs.LG cs.RO 88%

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints

Jianuo Huang

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments The experiment and method plan are abolished and need to be redesigned

2409.18435 2024-09-30 cs.LG cs.AI cs.MA 88%

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems

Xian Yeow Lee, Haiyan Wang, Daisuke Katsumata, Takaharu Matsui, Chetan Gupta

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

2409.13753 2024-09-24 cs.MA cs.AI cs.CL cs.ET 88%

Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models

Asher Sprigler, Alexander Drobek, Keagan Weinstock, Wendpanga Tapsoba, Gavin Childress, Andy Dao, Lucas Gral

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments 15 pages, 5 figures, published in the MICS 2024 conference

2211.06136 2024-09-21 cs.LG cs.AI cs.SY eess.SY 88%

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach

Man Luo, Bowen Du, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Mark Birkin, Hongkai Wen

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

2409.12001 2024-09-19 cs.LG cs.AI cs.MA 88%

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning

Claude Formanek, Louise Beyers, Callum Rhys Tilbury, Jonathan P. Shock, Arnu Pretorius

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

2409.11741 2024-09-19 cs.LG cs.AI cs.HC cs.MA 88%

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning

Huawen Hu, Enze Shi, Chenxi Yue, Shuocun Yang, Zihao Wu, Yiwei Li, Tianyang Zhong, Tuo Zhang, Tianming Liu, Shu Zhang

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments 7 pages, 6 figures

2305.02128 2024-09-11 cs.MA cs.AI cs.LG cs.RO 88%

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

Matteo Bettini, Ajay Shankar, Amanda Prorok

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

2409.00494 2024-09-06 cs.AI cs.SE 88%

GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems

Haowen Xu, Jinghui Yuan, Anye Zhou, Guanhao Xu, Wan Li, Xuegang Ban, Xinyue Ye

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.SE

2212.11498 2024-09-02 cs.LG cs.AI cs.MA cs.RO 88%

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers

Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew Wing Keung To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

2401.11880 2024-08-21 cs.CL cs.AI cs.CR cs.MA 88%

PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety

Zaibin Zhang, Yongting Zhang, Lijun Li, Hongzhi Gao, Lijun Wang, Huchuan Lu, Feng Zhao, Yu Qiao, Jing Shao

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

Comments ACL 2024

2303.01070 2024-08-15 cs.MA cs.AI cs.LG 88%

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning

Xiaoyang Yu, Youfang Lin, Xiangsen Wang, Sheng Han, Kai Lv

专题命中多智能体：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

1. 多智能体 14922 篇

Energy-Aware Multi-Agent Reinforcement Learning for Collaborative Execution in Mission-Oriented Drone Networks

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning

Improving Performance of Commercially Available AI Products in a Multi-Agent Configuration

Enhancing Financial Question Answering with a Multi-Agent Reflection Framework

Adaptive Multi-Agent Deep Reinforcement Learning for Timely Healthcare Interventions

Multi-Agent Reinforcement Learning with Selective State-Space Models

Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets

CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning

Self-Evolving Multi-Agent Collaboration Networks for Software Development

Boosting Sample Efficiency and Generalization in Multi-agent Reinforcement Learning via Equivariance

IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning

Kaleidoscope: Learnable Masks for Heterogeneous Multi-agent Reinforcement Learning

CAFEEN: A Cooperative Approach for Energy Efficient NoCs with Multi-Agent Reinforcement Learning

MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems

Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs

Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration

Zodiac: A Cardiologist-Level LLM Framework for Multi-Agent Diagnostics

Heterogeneous Multi-Agent Reinforcement Learning for Zero-Shot Scalable Collaboration

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints

Multi-agent Reinforcement Learning for Dynamic Dispatching in Material Handling Systems

Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning

GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems

Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers

PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety

GHQ: Grouped Hybrid Q Learning for Heterogeneous Cooperative Multi-agent Reinforcement Learning