AI Agent - arXivDaily 专题

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

2007.10504 2020-07-22 cs.AI cs.LG stat.ML 88%

Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop

Jonathan Chung, Anna Luo, Xavier Raffin, Scott Perry

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

2007.05402 2020-07-13 cs.AI cs.CE cs.LG cs.MA 88%

MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System

Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang

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, IJCAI-PRICAI 2020

1906.01470 2020-07-13 cs.LG cs.AI cs.MA cs.NE stat.ML 88%

Options as responses: Grounding behavioural hierarchies in multi-agent RL

Alexander Sasha Vezhnevets, Yuhuai Wu, Remi Leblond, Joel Z. Leibo

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

Comments First two authors contributed equally

Journal ref International Conference on Machine Learning 2020

1903.04714 2020-07-02 cs.LG cs.AI cs.MA 88%

Imitation Learning of Factored Multi-agent Reactive Models

Michael Teng, Tuan Anh Le, Adam Scibior, Frank Wood

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

Comments incorporated into another paper with different motivations

2006.01022 2020-06-30 cs.AI cs.GT cs.LG cs.MA cs.RO 88%

A novel approach for multi-agent cooperative pursuit to capture grouped evaders

Muhammad Zuhair Qadir, Songhao Piao, Haiyang Jiang, Mohammed El Habib Souidi

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

Comments published paper's draft version

Journal ref Journal of Supercomputing, J Supercomput 76 (2020)

1911.10120 2020-06-25 cs.LG cs.AI cs.MA stat.ML 88%

Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

Timothy Verstraeten, Eugenio Bargiacchi, Pieter JK Libin, Jan Helsen, Diederik M Roijers, Ann Nowé

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

Journal ref Sci Rep 10, 6728 (2020)

2006.09066 2020-06-17 eess.SP cs.AI cs.LG cs.MA 88%

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

Mohamed Sana, Antonio De Domenico, Wei Yu, Yves Lostanlen, Emilio Calvanese Strinati

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

Comments Part of this work has been presented in IEEE Globecom 2019

2006.06626 2020-06-12 math.OC cs.AI cs.LG cs.MA cs.SY eess.SY 88%

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward

Guannan Qu, Yiheng Lin, Adam Wierman, Na Li

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

2005.09624 2020-05-20 cs.LG cs.AI stat.ML 88%

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization

Yueh-Hua Wu, I-Hau Yeh, David Hu, Hong-Yuan Mark Liao

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

2005.04690 2020-05-12 cs.CL cs.CV cs.LG 88%

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning

Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu

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

Comments IJCAI 2020 (copyright held by IJCAI)

2004.07928 2020-04-20 cs.LG cs.AI stat.ML 88%

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

Dmitry Kazhdan, Zohreh Shams, Pietro Liò

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 KR2ML workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada

2004.01387 2020-04-06 cs.LG cs.AI 88%

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control

Supriyo Ghosh, Sean Laguna, Shiau Hong Lim, Laura Wynter, Hasan Poonawala

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

2003.13085 2020-04-01 cs.AI cs.LG cs.MA 88%

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning

Yongyuan Liang, Bangwei Li

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

1812.11794 2020-04-01 cs.LG cs.AI cs.MA stat.ML 88%

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi

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 Cybernetics, 20 March 2020

2003.10598 2020-03-25 cs.MA cs.AI cs.LG 88%

Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward

Hassam Ullah Sheikh, Ladislau Bölöni

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

Comments Accepted for publication at International Joint Conference on Neural Networks (IJCNN-2020)

2003.10423 2020-03-24 cs.LG cs.AI cs.NE cs.RO stat.ML 88%

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Qian Long, Zihan Zhou, Abhibav Gupta, Fei Fang, Yi Wu, Xiaolong Wang

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

Comments The project page is https://sites.google.com/view/epciclr2020 .The source code is released at https://github.com/qian18long/epciclr2020

1706.02275 2020-03-17 cs.LG cs.AI cs.NE 88%

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch

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

2003.02054 2020-03-11 cs.SE cs.AI cs.MA 88%

Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web

Alaa Daoud

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

Comments Internship report submitted for the degree of master in computer science <<Cyber-Physical-Social Systems (CPS2)>> - Université Jean Monnet - Saint Étienne - August 2018

2002.09853 2020-02-25 cs.AI cs.LG cs.MA 88%

Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication

Azhar Hussain, Tong Wang, Cao Jiahua

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

Comments 7 Figure, Table 1

1810.11187 2020-02-25 cs.LG cs.AI cs.MA stat.ML 88%

TarMAC: Targeted Multi-Agent Communication

Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat, Joelle Pineau

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

Comments ICML 2019

2002.06000 2020-02-17 cs.AI cs.LG cs.LO cs.MA 88%

Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning

Borja G. León, Francesco Belardinelli

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

Comments Long version of the correspondent ECAI 2020 paper

2001.06487 2020-02-03 cs.GT cs.AI cs.LG cs.MA 88%

Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory

Yunlong Lu, Kai Yan

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

Comments 14 pages, review. Reorganizing the expressions in part of introduction and background

1901.03887 2020-01-27 cs.LG cs.AI cs.MA stat.ML 88%

Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication

Emanuele Pesce, Giovanni Montana

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

Journal ref Machine Learning (2020)

1. 多智能体 14943 篇

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

Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop

MAPS: Multi-agent Reinforcement Learning-based Portfolio Management System

Options as responses: Grounding behavioural hierarchies in multi-agent RL

Imitation Learning of Factored Multi-agent Reactive Models

A novel approach for multi-agent cooperative pursuit to capture grouped evaders

Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures

Multi-Agent Reinforcement Learning for Adaptive User Association in Dynamic mmWave Networks

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward

Batch-Augmented Multi-Agent Reinforcement Learning for Efficient Traffic Signal Optimization

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning

MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control

Parallel Knowledge Transfer in Multi-Agent Reinforcement Learning

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications

Multi-Agent Reinforcement Learning for Problems with Combined Individual and Team Reward

Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

Semantic Web Environments for Multi-Agent Systems: Enabling agents to use Web of Things via semantic web

Optimizing Traffic Lights with Multi-agent Deep Reinforcement Learning and V2X communication

TarMAC: Targeted Multi-Agent Communication

Extended Markov Games to Learn Multiple Tasks in Multi-Agent Reinforcement Learning

Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory

Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication