AI Agent - arXivDaily 专题

2109.10632 2021-09-23 cs.AI cs.LG cs.MA cs.SY eess.SY stat.ML 88%

Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning

Roy Zohar, Shie Mannor, Guy Tennenholtz

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

2109.01178 2021-09-06 cs.AI cs.LG cs.MA 88%

Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts

Sage Bergerson

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

2109.00882 2021-09-03 cs.LG cs.AI cs.GT cs.MA cs.RO 88%

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Eshagh Kargar, Ville Kyrki

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

2107.14698 2021-08-02 cs.LG cs.AI cs.MA 88%

Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning

Robert Loftin, Aadirupa Saha, Sam Devlin, Katja Hofmann

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

Comments To Appear in Uncertainty in Artificial Intelligence (UAI) 2021. 10 figures, 14 pages

2010.00581 2021-06-24 cs.LG cs.AI cs.MA stat.ML 88%

Emergent Social Learning via Multi-agent Reinforcement Learning

Kamal Ndousse, Douglas Eck, Sergey Levine, Natasha Jaques

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

Comments 14 pages, 19 figures. To be published in ICML 2021

2106.11652 2021-06-23 cs.MA cs.AI cs.LG 88%

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning

Zhiwei Xu, Dapeng Li, Yunpeng Bai, Guoliang Fan

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

Comments 7 pages, 2 figures, 2 tables. Accepted by IJCNN 2021

2012.09421 2021-06-23 cs.LG cs.AI cs.MA 88%

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Matthieu Zimmer, Claire Glanois, Umer Siddique, Paul Weng

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

2006.04222 2021-06-15 cs.LG cs.AI cs.MA stat.ML 88%

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

Shariq Iqbal, Christian A. Schroeder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha

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

Comments ICML 2021 Camera Ready

2106.03051 2021-06-08 cs.LG cs.AI cs.MA cs.SY eess.SY 88%

ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

Junyoung Park, Sanjar Bakhtiyar, Jinkyoo Park

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

Comments 9 pages, 6 figures

2008.08808 2021-06-04 cs.AI cs.LG 88%

BGC: Multi-Agent Group Belief with Graph Clustering

Tianze Zhou, Fubiao Zhang, Pan Tang, Chenfei Wang

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

Comments 7 pages, 5 figures

2106.01242 2021-06-03 cs.LG cs.AI cs.CR 88%

A Privacy-Preserving and Trustable Multi-agent Learning Framework

Anudit Nagar, Cuong Tran, Ferdinando Fioretto

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

Comments This paper is an extended version of Reference [32]

2103.12983 2021-06-03 cs.AI cs.LG 88%

Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction

Tri Minh Nguyen, Thomas P Quinn, Thin Nguyen, Truyen Tran

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

2105.11611 2021-05-26 cs.AI cs.LG cs.MA 88%

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning

Zijian Gao, Kele Xu, Bo Ding, Huaimin Wang, Yiying Li, Hongda Jia

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

1905.12127 2021-05-25 cs.LG cs.AI cs.MA stat.ML 88%

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning

Shariq Iqbal, Fei Sha

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

2105.06593 2021-05-17 cs.MA cs.AI cs.GT cs.LG 88%

Emergent Prosociality in Multi-Agent Games Through Gifting

Woodrow Z. Wang, Mark Beliaev, Erdem Bıyık, Daniel A. Lazar, Ramtin Pedarsani, Dorsa Sadigh

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

Comments 9 pages, 6 figures, IJCAI 2021

2012.14137 2021-05-12 cs.MA cs.AI cs.LG 88%

Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing

Zheqi Zhu, Shuo Wan, Pingyi Fan, Khaled B. Letaief

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

2104.13617 2021-05-04 cs.RO cs.AI cs.LG 88%

End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning

Alessandro Paolo Capasso, Paolo Maramotti, Anthony Dell'Eva, Alberto Broggi

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

Comments IEEE Intelligent Vehicle 2021 (IV 2021)

1908.03963 2021-05-03 cs.LG cs.AI cs.MA math.OC stat.ML 88%

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Afshin OroojlooyJadid, Davood Hajinezhad

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

1911.10635 2021-04-30 cs.LG cs.AI cs.MA stat.ML 88%

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Kaiqing Zhang, Zhuoran Yang, Tamer Başar

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

Comments Invited Chapter in Handbook on RL and Control (Springer Studies in Systems, Decision and Control); Proofread version from the Publisher

2102.01611 2021-04-29 cs.LG cs.AI cs.SY eess.SY 88%

Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis

Hrishikesh Dutta, Subir Biswas

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

Comments Accepted and presented in 13th International Conference on COMmunication Systems & NETworkS (COMSNETS) 2021, Bangalore 2021. IEEE, 2021

2104.09402 2021-04-20 cs.LG cs.AI 88%

Agent-Centric Representations for Multi-Agent Reinforcement Learning

Wenling Shang, Lasse Espeholt, Anton Raichuk, Tim Salimans

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

2102.01434 2021-04-05 cs.MA cs.AI cs.LG 88%

An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors

Pierre El Mqirmi, Francesco Belardinelli, Borja G. León

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

Comments Extended version of AAMAS publication under the same name

2103.16434 2021-03-31 cs.RO cs.AI cs.HC cs.LG 88%

User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments

Georgios Th. Papadopoulos, Asterios Leonidis, Margherita Antona, Constantine Stephanidis

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:2012.08174

2103.15941 2021-03-31 cs.LG cs.AI cs.SY eess.SY 88%

Shaping Advice in Deep Multi-Agent Reinforcement Learning

Baicen Xiao, Bhaskar Ramasubramanian, Radha Poovendran

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

2101.03273 2021-03-30 cs.NI cs.AI cs.LG cs.MA 88%

Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs

Saeed Kaviani, Bo Ryu, Ejaz Ahmed, Kevin A. Larson, Anh Le, Alex Yahja, Jae H. Kim

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

Comments 14 pages, 8 figures

2012.08174 2021-03-30 cs.RO cs.AI cs.HC cs.LG 88%

Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning

Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis

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

2103.06967 2021-03-15 eess.SY cs.AI cs.LG cs.SY stat.ML 88%

Adversarial attacks in consensus-based multi-agent reinforcement learning

Martin Figura, Krishna Chaitanya Kosaraju, Vijay Gupta

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

2103.04564 2021-03-15 cs.AI cs.LG 88%

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization

Zhenggang Tang, Chao Yu, Boyuan Chen, Huazhe Xu, Xiaolong Wang, Fei Fang, Simon Du, Yu Wang, Yi Wu

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

Comments Accepted paper on ICLR 2021. First two authors share equal contribution

2012.07617 2021-03-11 cs.AI cs.LG cs.MA 88%

Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information

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 Presented at the AAAI-21 Workshop on Artificial Intelligence in Games

2010.01192 2021-03-02 cs.LG cs.AI cs.MA 88%

Correcting Experience Replay for Multi-Agent Communication

Sanjeevan Ahilan, Peter Dayan

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

Locality Matters: A Scalable Value Decomposition Approach for Cooperative Multi-Agent Reinforcement Learning

Multi-Agent Inverse Reinforcement Learning: Suboptimal Demonstrations and Alternative Solution Concepts

MACRPO: Multi-Agent Cooperative Recurrent Policy Optimization

Strategically Efficient Exploration in Competitive Multi-agent Reinforcement Learning

Emergent Social Learning via Multi-agent Reinforcement Learning

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

ScheduleNet: Learn to solve multi-agent scheduling problems with reinforcement learning

BGC: Multi-Agent Group Belief with Graph Clustering

A Privacy-Preserving and Trustable Multi-agent Learning Framework

Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction

KnowSR: Knowledge Sharing among Homogeneous Agents in Multi-agent Reinforcement Learning

Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning

Emergent Prosociality in Multi-Agent Games Through Gifting

Federated Multi-Agent Actor-Critic Learning for Age Sensitive Mobile Edge Computing

End-to-End Intersection Handling using Multi-Agent Deep Reinforcement Learning

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms

Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis

Agent-Centric Representations for Multi-Agent Reinforcement Learning

An Abstraction-based Method to Check Multi-Agent Deep Reinforcement-Learning Behaviors

User profile-driven large-scale multi-agent learning from demonstration in federated human-robot collaborative environments

Shaping Advice in Deep Multi-Agent Reinforcement Learning

Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs

Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning

Adversarial attacks in consensus-based multi-agent reinforcement learning

Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization

Specializing Inter-Agent Communication in Heterogeneous Multi-Agent Reinforcement Learning using Agent Class Information

Correcting Experience Replay for Multi-Agent Communication