A Survey and Critique of Multiagent Deep Reinforcement Learning

12 October 2018

Papers citing "A Survey and Critique of Multiagent Deep Reinforcement Learning"

50 / 52 papers shown

Title
Towards Bio-inspired Heuristically Accelerated Reinforcement Learning for Adaptive Underwater Multi-Agents Behaviour Antoine Vivien Thomas Chaffre Matthew Stephenson Eva Artusi Paulo E. Santos Benoit Clement Karl Sammut AI4CE 62 0 0 10 Feb 2025
A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs Myeongsoo Kim Tyler Stennett Saurabh Sinha Alessandro Orso 39 5 0 11 Nov 2024
A survey of air combat behavior modeling using machine learning Patrick Ribu Gorton Andreas Strand K. Brathen AI4CE 19 7 0 22 Apr 2024
Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks Xingran Chen Navid Naderializadeh Alejandro Ribeiro Shirin Saeedi Bidokhti 64 1 0 04 Apr 2024
Human-Machine Teaming for UAVs: An Experimentation Platform Laila El Moujtahid S. Gottipati Clodéric Mars Matthew E. Taylor 11 1 0 18 Dec 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects Min Hua Dong Chen Xinda Qi Kun Jiang Z. Liu Quan Zhou Hongming Xu 16 10 0 18 Dec 2023
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning M. Gerstgrasser Tom Danino Sarah Keren 8 5 0 01 Nov 2023
CoMIX: A Multi-agent Reinforcement Learning Training Architecture for Efficient Decentralized Coordination and Independent Decision-Making Giovanni Minelli Mirco Musolesi 21 0 0 21 Aug 2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes Saki Omi Hyo-Sang Shin Namhoon Cho Antonios Tsourdos 14 3 0 29 Jul 2023
Cooperative Multi-Agent Learning for Navigation via Structured State Abstraction Mohamed K. Abdel-Aziz Mohammed S. Elbamby S. Samarakoon M. Bennis 15 4 0 20 Jun 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 23 5 0 18 May 2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives Roberto Casadei AI4CE 16 15 0 11 Apr 2023
Boundary-aware Supervoxel-level Iteratively Refined Interactive 3D Image Segmentation with Multi-agent Reinforcement Learning Chaofan Ma Qisen Xu Xiangfeng Wang Bo Jin Xiaoyun Zhang Yanfeng Wang Ya-Qin Zhang 25 22 0 19 Mar 2023
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach Zihan Guo Yan Wu Lifang Wang Junzhi Zhang 13 14 0 15 Nov 2022
Agent-Time Attention for Sparse Rewards Multi-Agent Reinforcement Learning Jennifer She Jayesh K. Gupta Mykel J. Kochenderfer 18 4 0 31 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan M. Li Chao Qian Zongzhang Zhang Yang Yu 32 29 0 13 Oct 2022
Cooperative Actor-Critic via TD Error Aggregation Martin Figura Yixuan Lin Ji Liu V. Gupta 16 1 0 25 Jul 2022
Learning to Solve Vehicle Routing Problems: A Survey Aigerim Bogyrbayeva Meraryslan Meraliyev Taukekhan Mustakhov Bissenbay Dauletbayev 19 23 0 05 May 2022
Multi-Agent Broad Reinforcement Learning for Intelligent Traffic Light Control Ruijie Zhu Lulu Li Shuning Wu Pei Lv Yafai Li Mingliang Xu 18 48 0 08 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 34 9 0 23 Feb 2022
Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization Jian Zhao Yue Zhang Xu Hu Weixun Wang Wen-gang Zhou Jianye Hao Jiangcheng Zhu Houqiang Li 9 4 0 09 Feb 2022
Social Neuro AI: Social Interaction as the "dark matter" of AI Samuele Bolotta G. Dumas 17 22 0 31 Dec 2021
Can Reinforcement Learning Find Stackelberg-Nash Equilibria in General-Sum Markov Games with Myopic Followers? Han Zhong Zhuoran Yang Zhaoran Wang Michael I. Jordan 19 29 0 27 Dec 2021
CGIBNet: Bandwidth-constrained Communication with Graph Information Bottleneck in Multi-Agent Reinforcement Learning Qi Tian Kun Kuang Baoxiang Wang Furui Liu Fei Wu 11 0 0 20 Dec 2021
Multi-Agent Intention Sharing via Leader-Follower Forest Zeyang Liu Lipeng Wang Xuefeng Sui Kewu Sun Xuguang Lan 10 3 0 02 Dec 2021
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning Ralvi Isufaj Marsel Omeri M. A. Piera 4 16 0 29 Nov 2021
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning Xiaoxiao Zhao Jinlong Lei Li Li Jie-bin Chen OffRL 11 2 0 25 Nov 2021
Back to Basics: Deep Reinforcement Learning in Traffic Signal Control Sierk Kanis Laurens Samson D. Bloembergen Tim Bakker 14 4 0 15 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 28 91 0 14 Sep 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad M. Guizani OffRL AI4TS 13 21 0 05 Aug 2021
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks Ruohan Zhang F. Torabi Garrett A. Warnell Peter Stone 73 28 0 13 Jul 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising Chao Wen Miao Xu Zhilin Zhang Zhenzhe Zheng Yuhui Wang ... Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu Bo Zheng 13 15 0 11 Jun 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Erik Cambria OffRL 34 73 0 01 Jan 2021
QR-MIX: Distributional Value Function Factorisation for Cooperative Multi-Agent Reinforcement Learning Jian Hu Seth Austin Harding Haibin Wu Siyue Hu Shih-Wei Liao 11 9 0 09 Sep 2020
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence Tianqing Zhu Dayong Ye Wei Wang Wanlei Zhou Philip S. Yu SyDa 21 125 0 05 Aug 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 13 217 0 14 Jun 2020
Distributed Reinforcement Learning for Cooperative Multi-Robot Object Manipulation Guohui Ding Joewie J. Koh Kelly Merckaert B. Vanderborght M. Nicotra Christoffer Heckman A. Roncone Lijun Chen OffRL 11 20 0 21 Mar 2020
An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning Tianpei Yang Weixun Wang Hongyao Tang Jianye Hao Zhaopeng Meng ... Wulong Liu Chen Zhang Yujing Hu Yingfeng Chen Changjie Fan 11 22 0 19 Feb 2020
Mean-Field Controls with Q-learning for Cooperative MARL: Convergence and Complexity Analysis Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu 32 65 0 10 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 36 1,177 0 24 Nov 2019
A Generalized Training Approach for Multiagent Learning Paul Muller Shayegan Omidshafiei Mark Rowland K. Tuyls Julien Perolat ... Zhe Wang Guy Lever N. Heess T. Graepel Rémi Munos 18 89 0 27 Sep 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 38 408 0 11 Aug 2019
Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence Yuhang Song Andrzej Wojcicki Thomas Lukasiewicz Jianyi Wang Abi Aryan Zhenghua Xu Mai Xu Zihan Ding Lianlong Wu AI4CE ELM 17 33 0 17 May 2019
A Deep Recurrent Q Network towards Self-adapting Distributed Microservices architecture Basel Magableh 11 15 0 13 Jan 2019
An Introduction to Deep Reinforcement Learning Vincent François-Lavet Peter Henderson Riashat Islam Marc G. Bellemare Joelle Pineau OffRL AI4CE 80 1,230 0 30 Nov 2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning Gregory Palmer Rahul Savani K. Tuyls 12 27 0 13 Sep 2018
Adaptive Mechanism Design: Learning to Promote Cooperation T. Baumann T. Graepel John Shawe-Taylor 6 26 0 11 Jun 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 243 890 0 11 Nov 2017
Emergence of Locomotion Behaviours in Rich Environments N. Heess TB Dhruva S. Sriram Jay Lemmon J. Merel ... Tom Erez Ziyun Wang S. M. Ali Eslami Martin Riedmiller David Silver 120 927 0 07 Jul 2017