AI Agent - arXivDaily 专题

2002.11882 2021-02-24 cs.LG cs.AI cs.GT cs.MA cs.RO 88%

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning

Ngoc Duy Nguyen, Thanh Thi Nguyen, Doug Creighton, Saeid Nahavandi

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

2102.06042 2021-02-12 cs.LG cs.AI 88%

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning

Xiaoteng Ma, Yiqin Yang, Chenghao Li, Yiwen Lu, Qianchuan Zhao, Yang Jun

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

2102.05026 2021-02-10 cs.MA cs.AI cs.GT cs.LG 88%

Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies

Federico Cacciamani, Andrea Celli, Marco Ciccone, Nicola Gatti

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

Comments Accepted at AAMAS 2021 (full paper)

2102.02274 2021-02-05 cs.LG cs.AI cs.MA 88%

Neural Recursive Belief States in Multi-Agent Reinforcement Learning

Pol Moreno, Edward Hughes, Kevin R. McKee, Bernardo Avila Pires, Théophane Weber

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

2006.11438 2021-02-05 cs.LG cs.AI cs.MA 88%

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Sheng Li, Jayesh K. Gupta, Peter Morales, Ross Allen, Mykel J. Kochenderfer

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

2102.00735 2021-02-03 eess.SP cs.AI cs.LG 88%

Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning

Qisheng Wang, Xiao Li, Shi Jin, Yijiain Chen

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

Comments 5 pages, 4 figures, journal paper in press for publication

2101.09698 2021-01-26 cs.CL cs.AI cs.CV cs.MM 88%

Fast Sequence Generation with Multi-Agent Reinforcement Learning

Longteng Guo, Jing Liu, Xinxin Zhu, Hanqing Lu

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

Comments arXiv admin note: substantial text overlap with arXiv:2005.04690

2101.06557 2021-01-19 cs.RO cs.AI cs.CV cs.LG 88%

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun

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

2010.14391 2020-12-29 cs.AI cs.LG cs.MA 88%

Succinct and Robust Multi-Agent Communication With Temporal Message Control

Sai Qian Zhang, Jieyu Lin, Qi Zhang

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

2012.12062 2020-12-23 cs.LG cs.AI cs.MA 88%

QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning

Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli

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

Comments To be published in AAAI-21 Workshop on Reinforcement Learning in Games

2007.12306 2020-12-21 cs.AI cs.LG cs.MA 88%

Value-Decomposition Multi-Agent Actor-Critics

Jianyu Su, Stephen Adams, Peter A. Beling

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

Comments Accepted by 35th AAAI Conference on Artificial Intelligence (AAAI 2021)

1802.05438 2020-12-16 cs.MA cs.AI cs.LG 88%

Mean Field Multi-Agent Reinforcement Learning

Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

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

Comments ICML 2018 (Full paper + Long talk)

1812.02783 2020-12-15 cs.LG cs.AI cs.MA stat.ML 88%

Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents

Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Başar

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

Comments Addressed comments from IFAC Congress 2020 and TAC reviews; added simulations

2011.14890 2020-12-10 cs.MA cs.AI cs.LG 88%

Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems

Niko A. Grupen, Daniel D. Lee, Bart Selman

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

Comments 10 pages, 6 figures, Appearing in Talking to Strangers: Zero-Shot Emergent Communication Workshop NeurIPS 2020. Fixed part (a) of Figure 2 to include correct baseline reported in quantitative results section

2008.06495 2020-12-08 cs.LG cs.AI cs.GT cs.MA stat.ML 88%

Joint Policy Search for Multi-agent Collaboration with Imperfect Information

Yuandong Tian, Qucheng Gong, Tina Jiang

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

Comments Minor fix of the algorithm block

2012.00508 2020-12-02 cs.RO cs.AI cs.LG cs.MA 88%

Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication

Rupert Mitchell, Jan Blumenkamp, Amanda Prorok

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

2011.12895 2020-12-01 cs.LG cs.AI cs.MA 88%

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

Peng Sun, Jiechao Xiong, Lei Han, Xinghai Sun, Shuxing Li, Jiawei Xu, Meng Fang, Zhengyou Zhang

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

Comments 21 pages, 3 figures, technical report

1908.10577 2020-12-01 cs.MA cs.AI cs.LG 88%

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong

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

Comments Accepted to IEEE Transactions on Mobile Computing

2011.04501 2020-11-11 cs.AI cs.LG 88%

Multi-Agent Decentralized Belief Propagation on Graphs

Yitao Chen, Deepanshu Vasal

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

Comments 16 pages. arXiv admin note: text overlap with arXiv:1109.2135, arXiv:1209.1695, arXiv:1802.08757 by other authors

2011.00748 2020-11-03 cs.LG cs.AI 88%

Interpreting Graph Drawing with Multi-Agent Reinforcement Learning

Ilkin Safarli, Youjia Zhou, Bei Wang

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

2010.09776 2020-11-03 cs.MA cs.AI cs.GT cs.LG cs.SY eess.SY 88%

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Ming Zhou, Jun Luo, Julian Villella, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

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

Comments 20 pages, 11 figures. Paper accepted to CoRL 2020

1911.04192 2020-11-02 cs.CL cs.AI cs.CV 88%

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication

Ruize Wang, Zhongyu Wei, Ying Cheng, Piji Li, Haijun Shan, Ji Zhang, Qi Zhang, Xuanjing Huang

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

Comments Accepted to COLING 2020

2009.13161 2020-10-22 cs.AI cs.LG 88%

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks

Douglas De Rizzo Meneghetti, Reinaldo Augusto da Costa Bianchi

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

Comments Published and presented at the XVI Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). Fixed notation

2010.08531 2020-10-19 cs.LG cs.AI cs.MA stat.ML 88%

Multi-Agent Collaboration via Reward Attribution Decomposition

Tianjun Zhang, Huazhe Xu, Xiaolong Wang, Yi Wu, Kurt Keutzer, Joseph E. Gonzalez, Yuandong Tian

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

2008.09369 2020-09-01 cs.LG cs.AI cs.MA 88%

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication

Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang

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

1907.01385 2020-09-01 cs.LG cs.AI stat.ML 88%

Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT

Yue Xu, Zengde Deng, Mengdi Wang, Wenjun Xu, Anthony Man-Cho So, Shuguang Cui

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

Comments Published at IEEE Internet of Things Journal

2003.08353 2020-08-28 cs.LG cs.AI cs.MA stat.ML 88%

A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance

Marc Brittain, Xuxi Yang, Peng Wei

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

Comments 26 pages

2007.05096 2020-08-18 cs.AI cs.LG cs.MA cs.RO stat.ML 88%

Multi-Agent Routing Value Iteration Network

Quinlan Sykora, Mengye Ren, Raquel Urtasun

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

Comments Published at ICML 2020

2004.01098 2020-08-18 cs.AI cs.LG cs.MA 88%

Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning

Weichao Mao, Kaiqing Zhang, Erik Miehling, Tamer Başar

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

Comments Accepted to CDC 2020

2008.04109 2020-08-11 cs.LG cs.AI cs.MA cs.SY eess.SY stat.ML 88%

Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents

Abdul Mueed Hafiz, Ghulam Mohiuddin Bhat

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

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning

Multi-Agent Coordination in Adversarial Environments through Signal Mediated Strategies

Neural Recursive Belief States in Multi-Agent Reinforcement Learning

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Hybrid Beamforming for mmWave MU-MISO Systems Exploiting Multi-agent Deep Reinforcement Learning

Fast Sequence Generation with Multi-Agent Reinforcement Learning

TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

Succinct and Robust Multi-Agent Communication With Temporal Message Control

QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning

Value-Decomposition Multi-Agent Actor-Critics

Mean Field Multi-Agent Reinforcement Learning

Finite-Sample Analysis For Decentralized Batch Multi-Agent Reinforcement Learning With Networked Agents

Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems

Joint Policy Search for Multi-agent Collaboration with Imperfect Information

Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

Multi-Agent Decentralized Belief Propagation on Graphs

Interpreting Graph Drawing with Multi-Agent Reinforcement Learning

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication

Towards Heterogeneous Multi-Agent Reinforcement Learning with Graph Neural Networks

Multi-Agent Collaboration via Reward Attribution Decomposition

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication

Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT

A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance

Multi-Agent Routing Value Iteration Network

Information State Embedding in Partially Observable Cooperative Multi-Agent Reinforcement Learning

Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents