AI Agent - arXivDaily 专题

1911.04871 2022-09-20 cs.AI cs.CC 88%

On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs

Bernhard Nebel

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

Journal ref ICAPS 2020: 212-216

2209.04696 2022-09-14 cs.MA cs.AI cs.RO 88%

Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning

Yunxiao Guo, Xinjia Xie, Runhao Zhao, Chenglan Zhu, Jiangting Yin, Han Long

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

Comments We misplaced Fig.5 (b) on Page 11 ( This figure is from early experiments with poor results). We failed to resubmit, so we want to revise the whole paper by this chance

2204.03361 2022-09-08 cs.MA cs.AI cs.SY eess.SY 88%

Robust Event-Driven Interactions in Cooperative Multi-Agent Learning

Daniel Jarne Ornia, Manuel Mazo

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

Journal ref Formal Modeling and Analysis of Timed Systems. FORMATS 2022. Lecture Notes in Computer Science, vol 13465. Springer, Cham

2203.09565 2022-09-08 cs.MA cs.AI 88%

Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination

Derrik E. Asher, Anjon Basak, Rolando Fernandez, Piyush K. Sharma, Erin G. Zaroukian, Christopher D. Hsu, Michael R. Dorothy, Thomas Mahre, Gerardo Galindo, Luke Frerichs, John Rogers, John Fossaceca

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

Comments 23 pages, 3 figures, 60 references, Review Paper

Journal ref The Journal of Defense Modeling and Simulation. August 2022

2005.01979 2022-08-24 cs.LG cs.SY eess.SY stat.ML 88%

Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids

Joash Lee, Wenbo Wang, Dusit Niyato

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

Comments 6 pages, 4 figures, 2 tables. This paper was accepted for publication by the 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). Replacement with this "accepted article" is mandated by the IEEE. The paper was shortened to meet the conference's page limit. Findings remained unchanged

Journal ref 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2020, pp. 1-6

2201.11727 2022-08-23 cs.DC cs.LG cs.NI 88%

Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center

Zhiyuan Yao, Zihan Ding, Thomas Clausen

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

Journal ref 31st ACM International Conference on Information and Knowledge Management (CIKM 2022)

2208.07952 2022-08-18 cs.LG math.GT math.OC 88%

Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment

Hadi Keramati, Feridun Hamdullahpur

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

Journal ref ICML 2022 Workshop on Machine Learning in Computational Design

2208.07298 2022-08-16 cs.MA cs.LG 88%

Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

Muhammad Junaid Khan, Syed Hammad Ahmed, Gita Sukthankar

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

Comments AIIDE 2022

1809.04918 2022-08-15 cs.MA cs.AI 88%

Coordination-driven learning in multi-agent problem spaces

Sean L. Barton, Nicholas R. Waytowich, Derrik E. Asher

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

Comments AAAI Fall Symposium 2018, Concept Paper

Journal ref Proceedings of the AAAI Fall 2018 Sympo?sium on Adversary-Aware Learning Techniques and Trends in Cy?bersecurity, Arlington, VA, USA, 18-19 October, 2018, published at http://ceur-ws.org

1809.03066 2022-08-11 cs.GT cs.LG math.OC 88%

Multi-agent online learning in time-varying games

Benoit Duvocelle, Panayotis Mertikopoulos, Mathias Staudigl, Dries Vermeulen

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

Comments 35 pages

Journal ref Mathematics of Operations Research, 2022

2208.03663 2022-08-09 cs.MA cs.LG 88%

Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning

Kai Liu, Tianxian Zhang, Lingjiang Kong

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

Comments under review

2206.07505 2022-08-09 cs.AI 88%

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning

Wei Fu, Chao Yu, Zelai Xu, Jiaqi Yang, Yi Wu

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

Comments 16 pages, published as a conference paper in ICML 2022

2205.09362 2022-08-09 cs.AI 88%

Sparse Adversarial Attack in Multi-agent Reinforcement Learning

Yizheng Hu, Zhihua Zhang

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

2205.14323 2022-08-08 cs.DB cs.LG 88%

Multi-agent Databases via Independent Learning

Chi Zhang, Olga Papaemmanouil, Josiah P. Hanna, Aditya Akella

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

Journal ref AIDB@VLDB 2022 Proceedings of 4th International Workshop on Applied AI for Database Systems and Applications

2208.01223 2022-08-03 cs.AI cs.MA cs.RO 88%

Multi-Goal Multi-Agent Pickup and Delivery

Qinghong Xu, Jiaoyang Li, Sven Koenig, Hang Ma

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

Comments IROS 2022

2201.13288 2022-07-27 math.OC cs.LG stat.ML 88%

A Regret Minimization Approach to Multi-Agent Control

Udaya Ghai, Udari Madhushani, Naomi Leonard, Elad Hazan

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

Journal ref Proceedings of the 39th International Conference on Machine Learning, PMLR 162:7422-7434, 2022

2207.11300 2022-07-26 cs.AI cs.DC cs.HC cs.NI 88%

JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report

Stefan Bosse

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

2207.08279 2022-07-19 cs.MA cs.AI cs.RO 88%

Task Allocation with Load Management in Multi-Agent Teams

Haochen Wu, Amin Ghadami, Alparslan Emrah Bayrak, Jonathon M. Smereka, Bogdan I. Epureanu

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

Comments 8 pages, 5 figures, 2022 IEEE International Conference on Robotics and Automation

Journal ref ICRA (2022) 8823-8830

2207.05886 2022-07-15 cs.AI cs.MA cs.SI 88%

Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior

Hossein Haeri, Reza Ahmadzadeh, Kshitij Jerath

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

Comments Presented at Adaptive and Learning Agents Workshop at AAMAS, London, UK (Virtual), visit https://sites.google.com/view/marl-rsrn for videos and more information

2205.12449 2022-07-13 cs.LG cs.MA 88%

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

Stephanie Milani, Zhicheng Zhang, Nicholay Topin, Zheyuan Ryan Shi, Charles Kamhoua, Evangelos E. Papalexakis, Fei Fang

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

Comments ECML camera-ready version. 23 pages

2203.07322 2022-07-12 cs.LG cs.MA 88%

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

Pier Giuseppe Sessa, Maryam Kamgarpour, Andreas Krause

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

2010.05349 2022-07-12 cs.IR cs.CL 88%

ComStreamClust: a communicative multi-agent approach to text clustering in streaming data

Ali Najafi, Araz Gholipour-Shilabin, Rahim Dehkharghani, Ali Mohammadpur-Fard, Meysam Asgari-Chenaghlu

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

Comments 11 pages, 6 Figures, 4 Tables

2207.03945 2022-07-11 cs.MA cs.LG cs.PF 88%

High Performance Simulation for Scalable Multi-Agent Reinforcement Learning

Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon

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

Comments Accepted at the Workshop AI4ABM at ICML 2022 (Spotlight)

2206.10158 2022-07-05 cs.LG cs.MA 88%

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems

Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang

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

2206.12413 2022-06-28 cs.AI cs.MA math.OC 88%

A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions

Jing Tan, Lars Braubach, Kai Jander, Rongjun Xu, Kai Chen

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

2204.05513 2022-06-23 cs.RO cs.AI cs.CV 88%

End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent

Oskar Natan, Jun Miura

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

Comments This work has been accepted for publication in IEEE Transactions on Intelligent Vehicles. The published version can be accessed at https://ieeexplore.ieee.org/document/9802907 or https://doi.org/10.1109/TIV.2022.3185303

2112.08702 2022-06-22 cs.LG cs.MA 88%

Learning to Share in Multi-Agent Reinforcement Learning

Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu

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

Comments ICLR 2022 Workshop on Gamification and Multiagent Solutions, Best Cooperative AI Paper Award

2109.12508 2022-06-22 cs.LG cs.MA 88%

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates

Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan

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

2011.04555 2022-06-22 eess.SP cs.LG 88%

Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems

Hung V. Vu, Mohammad Farzanullah, Zheyu Liu, Duy H. N. Nguyen, Robert Morawski, Tho Le-Ngoc

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

Comments 5 pages, 3 figures

2206.08881 2022-06-20 cs.AI cs.FL cs.MA 88%

Logic-based Reward Shaping for Multi-Agent Reinforcement Learning

Ingy ElSayed-Aly, Lu Feng

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

Comments 10 pages, technical report

1. 多智能体 14943 篇

On the Computational Complexity of Multi-Agent Pathfinding on Directed Graphs

Cooperation and Competition: Flocking with Evolutionary Multi-Agent Reinforcement Learning

Robust Event-Driven Interactions in Cooperative Multi-Agent Learning

Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination

Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids

Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center

Generative Thermal Design Through Boundary Representation and Multi-Agent Cooperative Environment

Transformer-based Value Function Decomposition for Cooperative Multi-agent Reinforcement Learning in StarCraft

Coordination-driven learning in multi-agent problem spaces

Multi-agent online learning in time-varying games

Maximum Correntropy Value Decomposition for Multi-agent Deep Reinforcemen Learning

Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning

Sparse Adversarial Attack in Multi-agent Reinforcement Learning

Multi-agent Databases via Independent Learning

Multi-Goal Multi-Agent Pickup and Delivery

A Regret Minimization Approach to Multi-Agent Control

JAM: The JavaScript Agent Machine for Distributed Computing and Simulation with reactive and mobile Multi-agent Systems -- A Technical Report

Task Allocation with Load Management in Multi-Agent Teams

Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior

MAVIPER: Learning Decision Tree Policies for Interpretable Multi-Agent Reinforcement Learning

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

ComStreamClust: a communicative multi-agent approach to text clustering in streaming data

High Performance Simulation for Scalable Multi-Agent Reinforcement Learning

Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems

A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions

End-to-end Autonomous Driving with Semantic Depth Cloud Mapping and Multi-agent

Learning to Share in Multi-Agent Reinforcement Learning

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates

Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems

Logic-based Reward Shaping for Multi-Agent Reinforcement Learning