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

31 December 2018

Thanh Thi Nguyen

Ngoc Duy Nguyen

S. Nahavandi

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

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Title
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments Xiaolong Wei Lifang Yang Xianglin Huang Gang Cao Zhulin Tao Zhengyang Du Jing An 46 6 0 11 May 2021
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors Khalid Alhazmi Fahad Albalawi S. M. Sarathy 19 40 0 06 May 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 98 93 0 04 May 2021
Hypernetwork Dismantling via Deep Reinforcement Learning Dengcheng Yan Wenxin Xie Yiwen Zhang Qiang He Yun Yang 53 17 0 29 Apr 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 120 7 0 13 Apr 2021
Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review B. Yilma H. Panetto Yannick Naudet 45 72 0 11 Apr 2021
Towards a Personalisation Framework for Cyber-Physical-Social System (CPSS) B. Yilma Yannick Naudet H. Panetto 11 1 0 25 Mar 2021
Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy Sergei V. Kalinin M. Ziatdinov Jacob D. Hinkle S. Jesse Ayana Ghosh K. Kelley A. Lupini B. Sumpter Rama K Vasudevan 59 3 0 22 Mar 2021
Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence Yang Guan Yangang Ren Qi Sun Shengbo Eben Li Haitong Ma Jingliang Duan Yifan Dai B. Cheng 70 70 0 18 Mar 2021
Task-oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications Arsham Mostaani T. Vu Shree Krishna Sharma Van-Dinh Nguyen Qi Liao Symeon Chatzinotas 82 17 0 14 Feb 2021
Attention Actor-Critic algorithm for Multi-Agent Constrained Co-operative Reinforcement Learning P. Parnika Raghuram Bharadwaj Diddigi Sai Koti Reddy Danda S. Bhatnagar 94 19 0 07 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 86 3 0 04 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 123 75 0 01 Jan 2021
Deep Reinforcement Learning for Joint Spectrum and Power Allocation in Cellular Networks Yasar Sinan Nasir Dongning Guo 27 37 0 19 Dec 2020
Multi-Agent Reinforcement Learning for Markov Routing Games: A New Modeling Paradigm For Dynamic Traffic Assignment Zhenyu Shou Xu Chen Yongjie Fu Xuan Di 65 42 0 22 Nov 2020
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network Juhyeon Kim Kihyun Kim GNN 65 12 0 12 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani Ekram Hossain 211 245 0 06 Nov 2020
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 101 42 0 15 Oct 2020
Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey Wenshuai Zhao Jorge Peña Queralta Tomi Westerlund OffRL 223 743 0 24 Sep 2020
Complex Vehicle Routing with Memory Augmented Neural Networks Marijn van Knippenberg Mike Holenderski Vlado Menkovski 25 4 0 22 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 191 80 0 17 Sep 2020
Energy-based Surprise Minimization for Multi-Agent Value Factorization Karush Suri Xiaolong Shi Konstantinos Plataniotis Y. Lawryshyn 40 1 0 16 Sep 2020
Competing AI: How does competition feedback affect machine learning? Antonio A. Ginart Eva Zhang Yongchan Kwon James Zou AAML 40 0 0 15 Sep 2020
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles Bingding Huang Teng Liu Xingyu Mu Dongpu Cao 28 3 0 07 Sep 2020
Generative chemistry: drug discovery with deep learning generative models Yuemin Bian X. Xie AI4CE 126 96 0 20 Aug 2020
Towards Closing the Sim-to-Real Gap in Collaborative Multi-Robot Deep Reinforcement Learning Wenshuai Zhao Jorge Peña Queralta Qingqing Li Tomi Westerlund 53 28 0 18 Aug 2020
Ubiquitous Distributed Deep Reinforcement Learning at the Edge: Analyzing Byzantine Agents in Discrete Action Spaces Wenshuai Zhao Jorge Peña Queralta Qingqing Li Tomi Westerlund 75 6 0 18 Aug 2020
Deep Q-Network Based Multi-agent Reinforcement Learning with Binary Action Agents A. M. Hafiz G. M. Bhat AI4CE 38 3 0 06 Aug 2020
Cooperative Control of Mobile Robots with Stackelberg Learning Joewie J. Koh Guohui Ding Christoffer Heckman Lijun Chen Alessandro Roncone 30 10 0 03 Aug 2020
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions Thanh Thi Nguyen Quoc Viet Hung Nguyen Dung Nguyen Samuel Yang Peter W. Eklund Thien Huynh-The Thanh Tam Nguyen Quoc-Viet Pham Imran Razzak Edbert B. Hsu 91 191 0 30 Jul 2020
Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop Jonathan Chung Anna Luo Xavier Raffin Scott Perry OffRL 40 3 0 20 Jul 2020
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity Kai Zhang Sham Kakade Tamer Bacsar Lin F. Yang 138 123 0 15 Jul 2020
A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy: From Physics-Based to AI-Guided Driving Policy Learning Xuan Di Rongye Shi 138 177 0 10 Jul 2020
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning A. M. Hafiz G. M. Bhat OffRL 17 6 0 28 Jun 2020
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning Raunak P. Bhattacharyya Blake Wulfe Derek J. Phillips Alex Kuefler Jeremy Morton Ransalu Senanayake Mykel Kochenderfer 78 101 0 10 Jun 2020
Deep Learning for Change Detection in Remote Sensing Images: Comprehensive Review and Meta-Analysis Lazhar Khelifi M. Mignotte 86 265 0 10 Jun 2020
Machine Learning for Condensed Matter Physics Edwin Bedolla L. C. Padierna R. Castañeda-Priego AI4CE 69 67 0 28 May 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library Dmitry Kazhdan Z. Shams Pietro Lio 54 17 0 16 Apr 2020
A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance Marc Brittain Xuxi Yang Peng Wei 29 19 0 17 Mar 2020
Cluster-Based Social Reinforcement Learning Mahak Goindani Jennifer Neville GNN OffRL 23 5 0 02 Mar 2020
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework Ngoc Duy Nguyen Thanh Thi Nguyen Hai V. Nguyen Doug Creighton S. Nahavandi 161 4 0 27 Feb 2020
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning Ngoc Duy Nguyen Thanh Thi Nguyen Doug Creighton S. Nahavandi 35 5 0 27 Feb 2020
Reward Design for Driver Repositioning Using Multi-Agent Reinforcement Learning Zhenyu Shou Xuan Di 80 57 0 17 Feb 2020
Learning Multi-Agent Coordination through Connectivity-driven Communication E. Pesce Giovanni Montana 124 16 0 12 Feb 2020
Provable Self-Play Algorithms for Competitive Reinforcement Learning Yu Bai Chi Jin SSL 154 149 0 10 Feb 2020
Evolution of a Complex Predator-Prey Ecosystem on Large-scale Multi-Agent Deep Reinforcement Learning Jun Yamada John Shawe-Taylor Zafeirios Fountas 25 9 0 09 Feb 2020
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing Yu Zhang Tao Gu Xi Zhang FedML 49 21 0 07 Feb 2020
Inter-Level Cooperation in Hierarchical Reinforcement Learning Abdul Rahman Kreidieh Yiling You Nathan Lichtlé Samyak Parajuli Rayyan Nasr Alexandre M. Bayen 113 14 0 05 Dec 2019
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 84 82 0 04 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 72 10 0 03 Dec 2019