AI Agent - arXivDaily 专题

2203.06865 2023-10-09 q-fin.CP cs.AI cs.LG q-fin.MF 88%

Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective

Nelson Vadori

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

2310.03659 2023-10-06 cs.AI cs.MA cs.SE 88%

Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architectures

Thorsten Händler

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

2310.02605 2023-10-05 cs.LG cs.AI cs.SY eess.SY stat.ML 88%

Multi-Agent Reinforcement Learning for Power Grid Topology Optimization

Erica van der Sar, Alessandro Zocca, Sandjai Bhulai

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

Comments Submitted to PSCC 2024

2310.00962 2023-10-03 cs.LG cs.AI math.OC 88%

Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints

Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin N. Jones

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

2309.14757 2023-09-27 cs.LG cs.AI 88%

Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach

Eslam Eldeeb, Mohammad Shehab, Hirley Alves

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

2309.14727 2023-09-27 eess.SY cs.AI cs.LG cs.SY 88%

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization

Chenyang Miao, Yunduan Cui, Huiyun Li, Xinyu Wu

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

2309.07108 2023-09-14 cs.LG cs.AI cs.MA 88%

Characterizing Speed Performance of Multi-Agent Reinforcement Learning

Samuel Wiggins, Yuan Meng, Rajgopal Kannan, Viktor Prasanna

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

Journal ref In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA (2023) 327-334

2308.15394 2023-08-30 cs.AI cs.LG cs.SY eess.SY 88%

Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System

Zheng Xiong, Biao Luo, Bing-Chuan Wang, Xiaodong Xu, Xiaodong Liu, Tingwen Huang

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

2306.12926 2023-08-29 cs.RO cs.AI cs.LG cs.MA 88%

Decentralized Multi-Agent Reinforcement Learning with Global State Prediction

Joshua Bloom, Pranjal Paliwal, Apratim Mukherjee, Carlo Pinciroli

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

2302.07938 2023-08-29 cs.LG cs.AI cs.MA 88%

Scalable Multi-Agent Reinforcement Learning with General Utilities

Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei

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

Comments Supplementary material for the contribution to American Control Conference 2023 under the same title

2308.11071 2023-08-23 cs.AI cs.LG cs.MA cs.RO 88%

Neural Amortized Inference for Nested Multi-agent Reasoning

Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum, Tianmin Shu

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

Comments 8 pages, 10 figures

2308.09909 2023-08-22 cs.LG cs.AI cs.MA 88%

Never Explore Repeatedly in Multi-Agent Reinforcement Learning

Chenghao Li, Tonghan Wang, Chongjie Zhang, Qianchuan Zhao

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

2308.04938 2023-08-10 cs.LG cs.AI cs.MA 88%

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning

Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

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: substantial text overlap with arXiv:2204.05669

2308.04844 2023-08-10 cs.LG cs.AI cs.MA 88%

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning

Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx

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

Comments Paper accepted to the BNAIC/BeNeLearn 2022 conference

2308.04314 2023-08-09 cs.LG cs.AI stat.ML 88%

Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs

Lin Yang, Xuchuang Wang, Mohammad Hajiesmaili, Lijun Zhang, John C. S. Lui, Don Towsley

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

2308.03995 2023-08-09 cs.MA cs.AI cs.LG 88%

Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks

Hengxi Zhang, Huaze Tang, Wenbo Ding, Xiao-Ping Zhang

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

2307.16228 2023-08-01 cs.MA cs.AI cs.LG cs.SY eess.SY 88%

Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach

Sihong He, Shuo Han, Fei Miao

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

Comments accepted to International Conference on Intelligent Robots and Systems (IROS2023)

2307.16212 2023-08-01 cs.LG cs.AI cs.GT cs.MA cs.SY eess.SY 88%

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Sihong He, Songyang Han, Sanbao Su, Shuo Han, Shaofeng Zou, Fei Miao

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

Comments 50 pages, Published in TMLR, Transactions on Machine Learning Research (06/2023)

2303.01170 2023-07-31 cs.LG cs.AI cs.MA 88%

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning

Alberto Castagna, Ivana Dusparic

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

2107.14316 2023-07-26 cs.MA cs.AI cs.LG 88%

Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training

Piyush K. Sharma, Rolando Fernandez, Erin Zaroukian, Michael Dorothy, Anjon Basak, Derrik E. Asher

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

Comments This article appeared in the news at: https://www.army.mil/article/247261/army_researchers_develop_innovative_framework_for_training_ai

Journal ref Published at: Proceedings Volume 11746, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III; 117462K (2021), SPIE Defense + Commercial Sensing, 2021, Online Only

2307.08897 2023-07-24 cs.LG cs.AI cs.CE cs.SY eess.SY 88%

Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology

Mehrad Jaloli, Marzia Cescon

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

Comments 8 pages, 2 figures, 1 Table

2303.15471 2023-07-24 cs.LG cs.AI 88%

Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football

Chaoyi Gu, Varuna De Silva, Corentin Artaud, Rafael Pina

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

Journal ref 2023 IEEE 13th International Conference on Pattern Recognition Systems (ICPRS), Guayaquil, Ecuador, 2023, pp. 1-8

2201.08227 2023-07-24 cs.MA cs.AI cs.LG 88%

Learning Multi-agent Skills for Tabular Reinforcement Learning using Factor 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.AI、cs.LG

Journal ref IEEE Transactions on Artificial Intelligence, 2022

2307.01158 2023-07-20 cs.LG cs.AI cs.MA 88%

Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning

Ini Oguntola, Joseph Campbell, Simon Stepputtis, Katia Sycara

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

Comments To appear at ICML 2023 Workshop on Theory of Mind

2307.07670 2023-07-18 cs.LG cs.AI cs.CR math.OC 88%

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

Guanlin Liu, Lifeng Lai

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

2307.05004 2023-07-12 cs.AI cs.LG cs.MA 88%

Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning

Tomoaki Nakamura, Akira Taniguchi, Tadahiro Taniguchi

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

2004.11145 2023-07-10 cs.LG cs.AI cs.MA stat.ML 88%

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Wenhao Li, Bo Jin, Xiangfeng Wang, Junchi Yan, Hongyuan Zha

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

Comments 75 pages, 10 figures, JMLR camera ready

2307.03119 2023-07-07 cs.AI cs.LG cs.MA 88%

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance

Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu

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

Comments Accepted in KDD 2023; The website is at https://seqml.github.io/marl4fin

2307.00552 2023-07-04 cs.LG cs.AI cs.CY cs.MA 88%

Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms

Rémy Chaput, Olivier Boissier, Mathieu Guillermin

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

Comments 30 pages, 7 figures, 7 tables

2306.10640 2023-07-04 cs.NE cs.AI cs.LG cs.MA 88%

Evolving Strategies for Competitive Multi-Agent Search

Erkin Bahceci, Riitta Katila, Risto Miikkulainen

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

Calibration of Derivative Pricing Models: a Multi-Agent Reinforcement Learning Perspective

Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architectures

Multi-Agent Reinforcement Learning for Power Grid Topology Optimization

Multi-Agent Bayesian Optimization with Coupled Black-Box and Affine Constraints

Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach

Effective Multi-Agent Deep Reinforcement Learning Control with Relative Entropy Regularization

Characterizing Speed Performance of Multi-Agent Reinforcement Learning

Decentralized Multi-agent Reinforcement Learning based State-of-Charge Balancing Strategy for Distributed Energy Storage System

Decentralized Multi-Agent Reinforcement Learning with Global State Prediction

Scalable Multi-Agent Reinforcement Learning with General Utilities

Neural Amortized Inference for Nested Multi-agent Reasoning

Never Explore Repeatedly in Multi-Agent Reinforcement Learning

An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning

Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning

Cooperative Multi-agent Bandits: Distributed Algorithms with Optimal Individual Regret and Constant Communication Costs

Cooperative Multi-Type Multi-Agent Deep Reinforcement Learning for Resource Management in Space-Air-Ground Integrated Networks

Robust Electric Vehicle Balancing of Autonomous Mobility-On-Demand System: A Multi-Agent Reinforcement Learning Approach

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning

Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training

Basal-Bolus Advisor for Type 1 Diabetes (T1D) Patients Using Multi-Agent Reinforcement Learning (RL) Methodology

Embedding Contextual Information through Reward Shaping in Multi-Agent Learning: A Case Study from Google Football

Learning Multi-agent Skills for Tabular Reinforcement Learning using Factor Graphs

Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning

F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance

Adaptive reinforcement learning of multi-agent ethically-aligned behaviours: the QSOM and QDSOM algorithms

Evolving Strategies for Competitive Multi-Agent Search