AI Agent

Learning Adaptive Safety for Multi-Agent Systems

Luigi Berducci, Shuo Yang, Rahul Mangharam, Radu Grosu

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

Comments Update with appendix

Self-Motivated Multi-Agent Exploration

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

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

A Robust and Constrained Multi-Agent Reinforcement Learning Electric Vehicle Rebalancing Method in AMoD Systems

Sihong He, Yue Wang, Shuo Han, Shaofeng Zou, Fei Miao

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

Comments 8 pages, accepted to IROS2023

Brainstorming Generative Adversarial Networks (BGANs): Towards Multi-Agent Generative Models with Distributed Private Datasets

Aidin Ferdowsi, Walid Saad

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

Comments 13 pages, 16 figures, 3 tables

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning

Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji

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

Comments 37th Conference on Neural Information Processing Systems (NeurIPS 2023)

Environmental effects on emergent strategy in micro-scale multi-agent reinforcement learning

Samuel Tovey, David Zimmer, Christoph Lohrmann, Tobias Merkt, Simon Koppenhoefer, Veit-Lorenz Heuthe, Clemens Bechinger, Christian Holm

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

Comments 12 pages, 5 figures

Multi-agent Deep Covering Skill Discovery

Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal

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

Comments This paper was presented in part at the ICML Reinforcement Learning for Real Life Workshop, July 2021

Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

Petr Bobák, Ladislav Čmolík, Martin Čadík

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

Deep Multi-Agent Reinforcement Learning for Decentralized Active Hypothesis Testing

Hadar Szostak, Kobi Cohen

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

Comments A short version of this paper was presented at the annual Allerton Conference on Communication, Control, and Computing (Allerton) 2022

MAHTM: A Multi-Agent Framework for Hierarchical Transactive Microgrids

Nicolas Cuadrado, Roberto Gutierrez, Yongli Zhu, Martin Takac

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

Comments ICLR 2023 Workshop: Tackling Climate Change with Machine Learning

Online Control Barrier Functions for Decentralized Multi-Agent Navigation

Zhan Gao, Guang Yang, Amanda Prorok

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

Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles

Ruijin Sun, Xiao Yang, Nan Cheng, Xiucheng Wang, Changle Li

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

On-Demand Communication for Asynchronous Multi-Agent Bandits

Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

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

Comments Accepted by AISTATS 2023

Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO

Yangkun Chen, Joseph Suarez, Junjie Zhang, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola

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

Human-Inspired Multi-Agent Navigation using Knowledge Distillation

Pei Xu, Ioannis Karamouzas

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

Comments IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021

Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning

Min Hua, Cetengfei Zhang, Fanggang Zhang, Zhi Li, Xiaoli Yu, Hongming Xu, Quan Zhou

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

Graph Attention Multi-Agent Fleet Autonomy for Advanced Air Mobility

Malintha Fernando, Ransalu Senanayake, Heeyoul Choi, Martin Swany

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

Comments Accepted to Robotics: Science and Systems, 2023. 14 pages, 13 figures, 3 tables

Journal ref Robotics: Science and Systems, 2023

An Efficient Distributed Multi-Agent Reinforcement Learning for EV Charging Network Control

Amin Shojaeighadikolaei, Morteza Hashemi

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

Comments 8 pages, 4 figures, accepted at Allerton 2023

DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning

Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li

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

Comments Full version; Accepted in IJCAI 2023

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs

Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

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

Comments Accepted to NeurIPS 2022. arXiv admin note: substantial text overlap with arXiv:2201.08227

Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar

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

Regret Lower Bounds in Multi-agent Multi-armed Bandit

Mengfan Xu, Diego Klabjan

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

Comments 10 pages

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu

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

Multi-Agent Verification and Control with Probabilistic Model Checking

David Parker

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

Efficient decentralized multi-agent learning in asymmetric bipartite queueing systems

Daniel Freund, Thodoris Lykouris, Wentao Weng

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

Comments To appear in Operations Research. A preliminary version of this work was accepted for presentation at the Conference on Learning Theory (COLT) 2022. Compared to the first version of the paper, the current version expands upon the related work and adds intuition on the technical content

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation

Soohyun Park, Jae Pyoung Kim, Chanyoung Park, Soyi Jung, Joongheon Kim

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

Comments 7 pages, 3 figures, 2 tables

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations

Nelson Vadori, Leo Ardon, Sumitra Ganesh, Thomas Spooner, Selim Amrouni, Jared Vann, Mengda Xu, Zeyu Zheng, Tucker Balch, Manuela Veloso

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

Offline Decentralized Multi-Agent Reinforcement Learning

Jiechuan Jiang, Zongqing Lu

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

Comments ECAI 2023

Base-based Model Checking for Multi-Agent Only Believing (long version)

Tiago de Lima, Emiliano Lorini, François Schwarzentruber

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

Stability of Multi-Agent Learning: Convergence in Network Games with Many Players

Aamal Hussain, Dan Leonte, Francesco Belardinelli, Georgios Piliouras

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

Comments Presented at the Workshop on New Frontiers in Learning, Control, and Dynamical Systems at the International Conference on Machine Learning (ICML), Honolulu, Hawaii, USA, 2023