AI Agent - arXivDaily 专题

2308.16505 2024-01-31 cs.IR cs.AI 88%

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie

专题命中规划决策：agent(title)；AI agent(title)；planning(abstract)；workflow(abstract)

Comments 18 pages, 17 figures, 7 tables

2401.11257 2024-01-30 cs.MA cs.AI 88%

Measuring Policy Distance for Multi-Agent Reinforcement Learning

Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments 9 pages, 6 figures

2312.15667 2024-01-17 cs.MA cs.AI 88%

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy J. Norman, Kaiqi Huang, Yali Du

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

2401.04290 2024-01-10 cs.CV cs.AI cs.MA 88%

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

Sean Kulinski, Nicholas R. Waytowich, James Z. Hare, David I. Inouye

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments Published in CVPR 23'

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023

2312.10069 2023-12-19 cs.RO cs.CV cs.LG 88%

Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning

Yuxuan Li, Luca Weihs

专题命中规划决策：agent(title,abstract)；planning(title,abstract)；分类 cs.LG

2306.08206 2023-09-04 cs.MA cs.AI 88%

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Hyunsung Kim, Han-Jun Choi, Chang Jo Kim, Jinsung Yoon, Sang-Ki Ko

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Journal ref Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2010.07916 2023-08-08 cs.AI cs.MA 88%

Multi-Agent Trust Region Policy Optimization

Hepeng Li, Haibo He

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

2305.10161 2023-05-18 eess.SY cs.AI cs.MA cs.SY 88%

Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization

Yubao Zhang, Xin Chen, Sumei Gong, Haojie Chen

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

2212.06357 2023-05-16 cs.MA cs.LG 88%

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems

Xin Liu, Honghao Wei, Lei Ying

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

2303.14351 2023-03-28 cs.LG eess.SP 88%

Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks

Li-Hsiang Shen, Yun Ho, Kai-Ten Feng, Lie-Liang Yang, Sau-Hsuan Wu, Jen-Ming Wu

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

2210.12812 2023-03-21 math.OC cs.LG cs.MA stat.ML 88%

Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence

Sarath Pattathil, Kaiqing Zhang, Asuman Ozdaglar

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments Initially submitted for publication in January 2022

2210.05367 2023-03-07 cs.LG 88%

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient

Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

2209.12681 2023-02-13 cs.LG cs.MA 88%

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

Jiangxing Wang, Deheng Ye, Zongqing Lu

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments ICLR 2023

2301.08714 2023-01-24 cs.SE cs.FL cs.MA 88%

Verse: A Python library for reasoning about multi-agent hybrid system scenarios

Yangge Li, Haoqing Zhu, Katherine Braught, Keyi Shen, Sayan Mitra

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.SE

Comments 26 pages, 16 figures

2212.07397 2022-12-15 cs.LG cs.MA 88%

Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning

Majd Ibrahim, Ammar Fayad

专题命中规划决策：agent(title,abstract)；multi-agent(title)；planning(abstract)；分类 cs.LG

2110.02474 2022-10-25 econ.TH cs.LG 88%

Can an AI agent hit a moving target?

Rui, Shi

专题命中规划决策：agent(title,abstract)；AI agent(title,abstract)；分类 cs.LG

2205.14205 2022-09-27 cs.LG 88%

ALMA: Hierarchical Learning for Composite Multi-Agent Tasks

Shariq Iqbal, Robby Costales, Fei Sha

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments NeurIPS 2022 Camera Ready

2206.12718 2022-06-28 cs.MA cs.AI cs.RO 88%

Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation

Zhixuan Liang, Jiannong Cao, Shan Jiang, Divya Saxena, Huafeng Xu

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments 11 pages, 13 figures, 2 tables

2109.11251 2022-04-05 cs.AI cs.MA 88%

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

2203.10045 2022-03-21 cs.LG cs.MA 88%

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty

Hannes Eriksson, Debabrota Basu, Mina Alibeigi, Christos Dimitrakakis

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments 5 pages, 1 figure, 2 tables

2110.02793 2022-02-11 cs.AI cs.MA 88%

Multi-Agent Constrained Policy Optimisation

Shangding Gu, Jakub Grudzien Kuba, Munning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois Knoll, Yaodong Yang

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

2107.11927 2022-01-26 cs.AI 88%

On Blame Attribution for Accountable Multi-Agent Sequential Decision Making

Stelios Triantafyllou, Adish Singla, Goran Radanovic

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

Comments NeurIPS 2021

2112.10630 2021-12-21 eess.SY cs.LG cs.SY 88%

Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach

Jingren Xu, Xin Kang, Ronghaixiang Zhang, Ying-Chang Liang, Sumei Sun

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

2109.11692 2021-09-27 cs.LG cs.MA cs.SY eess.SY math.ST stat.ML stat.TH 88%

Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning

Carlo Alfano, Patrick Rebeschini

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

1812.01825 2021-08-20 cs.AI 88%

Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration

Peixi Peng, Junliang Xing

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

2107.12851 2021-08-03 cs.AI 88%

Task and Situation Structures for Service Agent Planning

Hao Yang, Tavan Eftekhar, Chad Esselink, Yan Ding, Shiqi Zhang

专题命中规划决策：agent(title,abstract)；planning(title,abstract)；分类 cs.AI

2105.08268 2021-05-19 cs.LG cs.MA 88%

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

Yan Li, Lingxiao Wang, Jiachen Yang, Ethan Wang, Zhaoran Wang, Tuo Zhao, Hongyuan Zha

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

1908.02269 2020-11-10 cs.LG cs.MA stat.ML 88%

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning

Julien Roy, Paul Barde, Félix G. Harvey, Derek Nowrouzezahrai, Christopher Pal

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments 23 pages, 16 figures. This revised version contains additional results and minor edits

2007.12322 2020-10-06 cs.LG cs.MA stat.ML 88%

Off-Policy Multi-Agent Decomposed Policy Gradients

Yihan Wang, Beining Han, Tonghan Wang, Heng Dong, Chongjie Zhang

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

2001.08016 2020-01-23 cs.MA cs.AI 88%

Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems

Shikha Singh, Deepak Khemani

专题命中规划决策：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI

1. 规划决策 35313 篇

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Measuring Policy Distance for Multi-Agent Reinforcement Learning

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

StarCraftImage: A Dataset For Prototyping Spatial Reasoning Methods For Multi-Agent Environments

Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Multi-Agent Trust Region Policy Optimization

Collective Large-scale Wind Farm Multivariate Power Output Control Based on Hierarchical Communication Multi-Agent Proximal Policy Optimization

Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems

Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks

Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient

More Centralized Training, Still Decentralized Execution: Multi-Agent Conditional Policy Factorization

Verse: A Python library for reasoning about multi-agent hybrid system scenarios

Hierarchical Strategies for Cooperative Multi-Agent Reinforcement Learning

Can an AI agent hit a moving target?

ALMA: Hierarchical Learning for Composite Multi-Agent Tasks

Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty

Multi-Agent Constrained Policy Optimisation

On Blame Attribution for Accountable Multi-Agent Sequential Decision Making

Optimization for Master-UAV-powered Auxiliary-Aerial-IRS-assisted IoT Networks: An Option-based Multi-agent Hierarchical Deep Reinforcement Learning Approach

Dimension-Free Rates for Natural Policy Gradient in Multi-Agent Reinforcement Learning

Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration

Task and Situation Structures for Service Agent Planning

Permutation Invariant Policy Optimization for Mean-Field Multi-Agent Reinforcement Learning: A Principled Approach

Promoting Coordination through Policy Regularization in Multi-Agent Deep Reinforcement Learning

Off-Policy Multi-Agent Decomposed Policy Gradients

Subjective Knowledge and Reasoning about Agents in Multi-Agent Systems