AI Agent - arXivDaily 专题

2402.03204 2024-02-06 cs.IT cs.AI cs.LG math.IT 88%

Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell Massive MIMO Systems

Tianzhang Cai, Qichen Wang, Shuai Zhang, Özlem Tuğfe Demir, Cicek Cavdar

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

2402.02519 2024-02-06 cs.RO cs.AI cs.CV cs.LG 88%

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

Lu Zhang, Peiliang Li, Sikang Liu, Shaojie Shen

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

Comments Code is available at https://github.com/HKUST-Aerial-Robotics/SIMPL

2307.01403 2024-02-05 cs.AI cs.LG 88%

Learning Multi-Agent Communication with Contrastive Learning

Yat Long Lo, Biswa Sengupta, Jakob Foerster, Michael Noukhovitch

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

Comments The 12th International Conference on Learning Representations (ICLR)

2311.17227 2024-01-31 cs.AI cs.CL cs.CY 88%

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang

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

Comments 47 pages, 9 figures, 5 tables

2401.09455 2024-01-19 cs.NI cs.AI cs.LG cs.SY eess.SY 88%

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

Yifeng Lyu, Han Hu, Rongfei Fan, Zhi Liu, Jianping An, Shiwen Mao

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

2305.17198 2024-01-19 cs.LG cs.AI cs.MA 88%

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Paul Barde, Jakob Foerster, Derek Nowrouzezahrai, Amy Zhang

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

2401.05998 2024-01-12 cs.CL cs.AI 88%

Combating Adversarial Attacks with Multi-Agent Debate

Steffi Chern, Zhen Fan, Andy Liu

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

2401.04934 2024-01-11 cs.MA cs.AI cs.LG 88%

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey

Jiechuan Jiang, Kefan Su, Zongqing Lu

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

Comments The first two authors contribute equally with an alphabetic order

2401.04631 2024-01-10 cs.AI cs.LG 88%

Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring

Samuel Yanes Luis, Dmitriy Shutin, Juan Marchal Gómez, Daniel Gutiérrez Reina, Sergio Toral Marín

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

2304.07520 2024-01-05 cs.AI cs.LG 88%

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning

Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du

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

2307.16186 2024-01-02 cs.MA cs.AI cs.LG cs.RO 88%

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning

Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu

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

Comments Accepted by ECAI 2023

2312.11545 2023-12-20 cs.MA cs.AI cs.LG 88%

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang

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

Comments Accepted by AAAI 2024

2305.13030 2023-12-20 cs.AI cs.LG 88%

Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations

Keisuke Fujii, Kazushi Tsutsui, Atom Scott, Hiroshi Nakahara, Naoya Takeishi, Yoshinobu Kawahara

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

Comments 14 pages, 5 figures, accepted in ICAART 2024 Oral

2303.16737 2023-12-20 cs.MA cs.AI cs.LG 88%

Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications

Danish Rizvi, David Boyle

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

2312.05162 2023-12-11 cs.MA cs.AI cs.GT cs.LG 88%

A Review of Cooperation in Multi-agent Learning

Yali Du, Joel Z. Leibo, Usman Islam, Richard Willis, Peter Sunehag

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

Comments 29 pages, 3 figures

2305.17886 2023-12-04 cs.AI cs.LG 88%

Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning

Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii

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

Comments 12 pages, 4 figures, published in IEEE Access. The latest version is at https://ieeexplore.ieee.org/document/10328596

2311.06255 2023-11-14 cs.MA cs.AI cs.LG 88%

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning

Parham Gohari, Matthew Hale, Ufuk Topcu

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

Comments Paper accepted at 62nd IEEE Conference on Decision and Control

2311.04240 2023-11-09 cs.AI cs.LG 88%

Environmental-Impact Based Multi-Agent Reinforcement Learning

Farinaz Alamiyan-Harandi, Pouria Ramazi

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

2311.04239 2023-11-09 cs.AI cs.LG 88%

Kindness in Multi-Agent Reinforcement Learning

Farinaz Alamiyan-Harandi, Mersad Hassanjani, Pouria Ramazi

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

Comments arXiv admin note: text overlap with arXiv:2302.12053

2306.06136 2023-11-09 cs.LG cs.AI cs.CR cs.MA 88%

Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents

Ziyuan Zhou, Guanjun Liu

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

2311.03756 2023-11-08 cs.LG cs.AI cs.SY eess.SY 88%

Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning

Yao Zhang, Zhiwen Yu, Jun Zhang, Liang Wang, Tom H. Luan, Bin Guo, Chau Yuen

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

2311.03736 2023-11-08 cs.AI cs.LG cs.MA 88%

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning

Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

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

2311.02741 2023-11-07 cs.LG cs.AI cs.MA 88%

Learning Independently from Causality in Multi-Agent Environments

Rafael Pina, Varuna De Silva, Corentin Artaud

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

Comments Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2023)

2210.13708 2023-11-07 cs.LG cs.AI cs.MA 88%

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang

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

2311.02502 2023-11-07 cs.CV cs.AI cs.GR cs.LG cs.RO 88%

MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters

Mohamed Younes, Ewa Kijak, Richard Kulpa, Simon Malinowski, Franck Multon

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

Comments SCA'23, Supplementary video: https://youtu.be/wQfIiw_rQ3w

Journal ref ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA), August 4-6, 2023, Los Angeles, CA, USA

2311.02194 2023-11-07 cs.LG cs.AI 88%

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation

Daiki E. Matsunaga, Jongmin Lee, Jaeseok Yoon, Stefanos Leonardos, Pieter Abbeel, Kee-Eung Kim

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

Comments 31 pages, 12 figures, Accepted at NeurIPS 2023

2005.13625 2023-11-01 cs.LG cs.AI cs.MA stat.ML 88%

Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning

J. K. Terry, Nathaniel Grammel, Sanghyun Son, Benjamin Black, Aakriti Agrawal

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

2310.17492 2023-10-27 cs.AI cs.DC cs.LG cs.NI 88%

Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach

Wenhan Yu, Terence Jie Chua, Jun Zhao

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

2112.12458 2023-10-27 cs.LG cs.AI 88%

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning

Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers

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

Comments https://openreview.net/forum?id=adpKzWQunW

Journal ref Transactions on Machine Learning Research - October 2023

2308.16539 2023-10-17 cs.RO cs.AI cs.GT cs.LG cs.MA 88%

On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions

Christopher Diehl, Tobias Klosek, Martin Krüger, Nils Murzyn, Torsten Bertram

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

Comments International Conference on Machine Learning, Workshop on New Frontiers in Learning, Control, and Dynamical Systems (ICML 2023 Frontiers4LCD); added further related work in Energy-based Model sections in V2

1. 多智能体 14815 篇

Multi-agent Reinforcement Learning for Energy Saving in Multi-Cell Massive MIMO Systems

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

Learning Multi-Agent Communication with Contrastive Learning

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

Dynamic Routing for Integrated Satellite-Terrestrial Networks: A Constrained Multi-Agent Reinforcement Learning Approach

A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem

Combating Adversarial Attacks with Multi-Agent Debate

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey

Deep Reinforcement Multi-agent Learning framework for Information Gathering with Local Gaussian Processes for Water Monitoring

STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations

Multi-Agent Reinforcement Learning with Action Masking for UAV-enabled Mobile Communications

A Review of Cooperation in Multi-agent Learning

Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning

Privacy-Engineered Value Decomposition Networks for Cooperative Multi-Agent Reinforcement Learning

Environmental-Impact Based Multi-Agent Reinforcement Learning

Kindness in Multi-Agent Reinforcement Learning

Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents

Learning Decentralized Traffic Signal Controllers with Multi-Agent Graph Reinforcement Learning

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning

Learning Independently from Causality in Multi-Agent Environments

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation

Revisiting Parameter Sharing in Multi-Agent Deep Reinforcement Learning

Orchestration of Emulator Assisted Mobile Edge Tuning for AI Foundation Models: A Multi-Agent Deep Reinforcement Learning Approach

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning

On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions