AI Agent

Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates

Lucas Cassano, Kun Yuan, Ali H. Sayed

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

Comments 33 pages, 10 figures

Multi-Agent Adversarial Inverse Reinforcement Learning

Lantao Yu, Jiaming Song, Stefano Ermon

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

Comments ICML 2019

Multi-Agent Path Finding with Capacity Constraints

Pavel Surynek, T. K. Satish Kumar, Sven Koenig

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

Comments arXiv admin note: substantial text overlap with arXiv:1809.05959 and arXiv:1907.07631

A Communication-Efficient Multi-Agent Actor-Critic Algorithm for Distributed Reinforcement Learning

Yixuan Lin, Kaiqing Zhang, Zhuoran Yang, Zhaoran Wang, Tamer Başar, Romeil Sandhu, Ji Liu

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

Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis

Wenhang Bao, Xiao-yang Liu

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

Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-agent Reinforcement Learning

William Long

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

Automatic Algorithm Selection In Multi-agent Pathfinding

Devon Sigurdson, Vadim Bulitko, Sven Koenig, Carlos Hernandez, William Yeoh

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

Finding Friend and Foe in Multi-Agent Games

Jack Serrino, Max Kleiman-Weiner, David C. Parkes, Joshua B. Tenenbaum

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

Comments Jack Serrino and Max Kleiman-Weiner contributed equally

Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning

Wendelin Böhmer, Tabish Rashid, Shimon Whiteson

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

Comments Accepted to the 2nd Exploration in Reinforcement Learning Workshop at the International Conference on Machine Learning 2019

Learning Transferable Cooperative Behavior in Multi-Agent Teams

Akshat Agarwal, Sumit Kumar, Katia Sycara

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

Teaching on a Budget in Multi-Agent Deep Reinforcement Learning

Ercüment İlhan, Jeremy Gow, Diego Perez-Liebana

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

Comments 8 pages

Deep Reinforcement Learning for Event-Driven Multi-Agent Decision Processes

Kunal Menda, Yi-Chun Chen, Justin Grana, James W. Bono, Brendan D. Tracey, Mykel J. Kochenderfer, David Wolpert

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

Comments Published in IEEE Transactions on Intelligent Transportation Systems (Volume: 20, Issue: 4, April 2019). https://ieeexplore.ieee.org/document/8419722

Journal ref IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 4, pp. 1259-1268, April 2019

Finding new routes for integrating Multi-Agent Systems using Apache Camel

Cleber Jorge Amaral, Sérgio Pereira Bernardes, Mateus Conceição, Jomi Fred Hübner, Luis Pedro Arenhart Lampert, Otávio Arruda Matoso, Maicon Rafael Zatelli

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

Comments 12 pages, 5 figures

Journal ref Presented on Wesaac 2019 (Workshop-School on Agents, Environments, and Applications) - https://gsigma.ufsc.br/wesaac2019/

Multi-agent Attentional Activity Recognition

Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu

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

Comments Accepted by IJCAI 2019

Position Paper: From Multi-Agent Pathfinding to Pipe Routing

Gleb Belov, Liron Cohen, Maria Garcia de la Banda, Daniel Harabor, Sven Koenig, Xinrui Wei

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

Comments 6 pages, 5 figures

Deep Multi-Agent Reinforcement Learning Based Cooperative Edge Caching in Wireless Networks

Chen Zhong, M. Cenk Gursoy, Senem Velipasalar

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

A multi-agent system approach in evaluating human spatio-temporal vulnerability to seismic risk using social attachment

Julius Bañgate, Julie Dugdale, Elise Beck, Carole Adam

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

Journal ref Risk Analysis and Hazard Mitigation, Jun 2018, Sevilla, Spain

Robust Multi-agent Counterfactual Prediction

Alexander Peysakhovich, Christian Kroer, Adam Lerer

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

Multi-agent Path Finding with Continuous Time Viewed Through Satisfiability Modulo Theories (SMT)

Pavel Surynek

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

Multi-Agent Deep Reinforcement Learning for Large-scale Traffic Signal Control

Tianshu Chu, Jie Wang, Lara Codecà, Zhaojian Li

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

Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research

Joel Z. Leibo, Edward Hughes, Marc Lanctot, Thore Graepel

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

Comments 16 pages, 2 figures

Convergence of Multi-Agent Learning with a Finite Step Size in General-Sum Games

Xinliang Song, Tonghan Wang, Chongjie Zhang

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

Comments AAMAS 2019

Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System

James P. Bailey, Georgios Piliouras

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

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network

Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu

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

Comments Accepted by AAMAS 2019

Generating Multi-Agent Trajectories using Programmatic Weak Supervision

Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey

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

Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization

Hoi-To Wai, Zhuoran Yang, Zhaoran Wang, Mingyi Hong

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

Comments final version as appeared in NeurIPS 2018

Personal Universes: A Solution to the Multi-Agent Value Alignment Problem

Roman V. Yampolskiy

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

Optimizing Market Making using Multi-Agent Reinforcement Learning

Yagna Patel

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

Comments 10 pages, 12 figures

Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems

Hyung-Jin Yoon, Huaiyu Chen, Kehan Long, Heling Zhang, Aditya Gahlawat, Donghwan Lee, Naira Hovakimyan

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

Comments AIAA SciTech 2019

Multi-agent Deep Reinforcement Learning with Extremely Noisy Observations

Ozsel Kilinc, Giovanni Montana

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

Comments To appear in Deep Reinforcement Learning Workshop, NIPS 2018