AI Agent - arXivDaily 专题

2203.10443 2022-04-12 quant-ph cs.ET cs.LG 88%

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim

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

2204.02268 2022-04-06 cs.LG cs.GT 88%

Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games

Jing Tan, Ramin Khalili, Holger Karl

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

2106.11144 2022-04-06 physics.flu-dyn cs.LG physics.comp-ph 88%

Scientific multi-agent reinforcement learning for wall-models of turbulent flows

H. Jane Bae, Petros Koumoutsakos

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

2111.11188 2022-04-05 cs.LG 88%

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Ling Pan, Longbo Huang, Tengyu Ma, Huazhe Xu

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

2109.01654 2022-04-05 cs.LG cs.SY eess.SY math.OC stat.ML 88%

Multi-agent Natural Actor-critic Reinforcement Learning Algorithms

Prashant Trivedi, Nandyala Hemachandra

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

Comments A very high-level summary of our revision is: In Section 3.5, we theoretically prove that the objective function value from the deterministic variant of MAN algorithms dominates that of the MAAC algorithm under some minimal conditions. It relies on the Lemma 2 of our paper: the minimum singular value of the Fisher information matrix is well within the reciprocal of the policy parameter dimension

2008.06933 2022-04-05 cs.LG stat.ML 88%

The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line

Anna Bogomolova, Kseniia Kingsep, Boris Voskresenskii

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

Comments 8 pages, 6 figures

2203.08937 2022-03-30 cs.LG cs.MA physics.comp-ph 88%

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning

Elliot Way, Dheeraj S. K. Kapilavai, Yiwei Fu, Lei Yu

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

2203.14152 2022-03-29 cs.MA cs.AI eess.SP 88%

Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning

Jie Zhang, Jun Li, Yijin Zhang, Qingqing Wu, Xiongwei Wu, Feng Shu, Shi Jin, Wen Chen

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

Comments 14 pages, 11 figures

2203.04421 2022-03-22 cs.LG cs.RO 88%

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction

Zhangjie Cao, Erdem Bıyık, Guy Rosman, Dorsa Sadigh

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

Comments 8 pages

Journal ref ICRA 2022

2203.08454 2022-03-17 cs.LG cs.MA 88%

Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents

Jian Zhao, Youpeng Zhao, Weixun Wang, Mingyu Yang, Xunhan Hu, Wengang Zhou, Jianye Hao, Houqiang Li

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

2203.08412 2022-03-17 cs.MA cs.LG 88%

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning

Jian Zhao, Xunhan Hu, Mingyu Yang, Wengang Zhou, Jiangcheng Zhu, Houqiang Li

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

2203.07092 2022-03-15 cs.LG cs.MA stat.ML 88%

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications

Tim Tsz-Kit Lau, Biswa Sengupta

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

2203.03021 2022-03-08 cs.LG cs.MA stat.ML 88%

Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment

Diogo S. Carvalho, Biswa Sengupta

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

2203.02865 2022-03-08 stat.ML cs.LG cs.MA cs.RO math.OC 88%

Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning

George P. Kontoudis, Daniel J. Stilwell

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

2202.10612 2022-02-23 cs.MA cs.AI 88%

A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning

Jingchen Li, Haobin Shi, Kao-Shing Hwang

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

2202.09722 2022-02-22 cs.AI cs.MA 88%

PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning

Zixuan Cao, Mengzhi Shi, Zhanbo Zhao, Xiujun Ma

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

Comments preprint

2108.02731 2022-02-22 cs.LG math.OC 88%

Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach

Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu

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

2103.04516 2022-02-16 cs.RO cs.AI 88%

Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions

Zhongqiang Ren, Sivakumar Rathinam, Howie Choset

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

Comments 8 pages, Accepted by IROS 2021

2107.06434 2022-02-08 cs.AI 88%

Centralized Model and Exploration Policy for Multi-Agent RL

Qizhen Zhang, Chris Lu, Animesh Garg, Jakob Foerster

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

Comments Accepted to AAMAS 2022

2201.12776 2022-02-01 cs.RO cs.AI 88%

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

Qi Liu, Zirui Li, Xueyuan Li, Jingda Wu, Shihua Yuan

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

Comments 8 pages, 7 figures, 5 tables, IV2022 conference

2201.12211 2022-01-31 cs.LG cs.CR cs.MA 88%

Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire

Siddhartha Datta, Nigel Shadbolt

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

2201.09149 2022-01-28 cs.MA cs.IT cs.LG math.IT 88%

Multi-Agent Adversarial Attacks for Multi-Channel Communications

Juncheng Dong, Suya Wu, Mohammadreza Sultani, Vahid Tarokh

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

2108.03803 2022-01-27 cs.LG cs.MA 88%

Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning

Wanqi Xue, Wei Qiu, Bo An, Zinovi Rabinovich, Svetlana Obraztsova, Chai Kiat Yeo

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

Comments Published as a conference paper in AAMAS 2022

2201.10483 2022-01-26 cs.LG cs.GT cs.SY eess.SY 88%

Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos

Georgios Piliouras, Fang-Yi Yu

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

2106.00285 2022-01-25 cs.AI cs.MA 88%

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning

Jiahui Li, Kun Kuang, Baoxiang Wang, Furui Liu, Long Chen, Fei Wu, Jun Xiao

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

2110.14300 2022-01-24 cs.LG cs.MA 88%

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Jianhong Wang, Wangkun Xu, Yunjie Gu, Wenbin Song, Tim C. Green

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

Comments Published on NeurIPS 2021

2201.06014 2022-01-20 cs.MA cs.AI cs.RO 88%

Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks

Tomoki Yamauchi, Yuki Miyashita, Toshiharu Sugawara

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

Comments Extended version of paper accepted at AAMAS 2022

2110.15092 2022-01-19 cs.LG 88%

A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning

Gugan Thoppe, Bhumesh Kumar

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

Comments Some typos corrected; 19 pages

2110.05125 2022-01-13 eess.SY cs.AI cs.SY 88%

Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems

Christos K. Verginis, Zhe Xu, Ufuk Topcu

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

2106.06224 2022-01-06 cs.MA cs.AI cs.GT 88%

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising

Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng

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

Comments Accepted by WSDM 2022

1. 多智能体 14943 篇

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games

Scientific multi-agent reinforcement learning for wall-models of turbulent flows

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Multi-agent Natural Actor-critic Reinforcement Learning Algorithms

The reinforcement learning-based multi-agent cooperative approach for the adaptive speed regulation on a metallurgical pickling line

Backpropagation through Time and Space: Learning Numerical Methods with Multi-Agent Reinforcement Learning

Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning

Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction

Coach-assisted Multi-Agent Reinforcement Learning Framework for Unexpected Crashed Agents

CTDS: Centralized Teacher with Decentralized Student for Multi-Agent Reinforcement Learning

The Multi-Agent Pickup and Delivery Problem: MAPF, MARL and Its Warehouse Applications

Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment

Fully Decentralized, Scalable Gaussian Processes for Multi-Agent Federated Learning

A Decentralized Communication Framework based on Dual-Level Recurrence for Multi-Agent Reinforcement Learning

PooL: Pheromone-inspired Communication Framework forLarge Scale Multi-Agent Reinforcement Learning

Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach

Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions

Centralized Model and Exploration Policy for Multi-Agent RL

Graph Convolution-Based Deep Reinforcement Learning for Multi-Agent Decision-Making in Mixed Traffic Environments

Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire

Multi-Agent Adversarial Attacks for Multi-Channel Communications

Mis-spoke or mis-lead: Achieving Robustness in Multi-Agent Communicative Reinforcement Learning

Multi-agent Performative Prediction: From Global Stability and Optimality to Chaos

Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks

A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning

Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems

A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising