Revisiting the Master-Slave Architecture in Multi-Agent Deep
Reinforcement Learning

Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning

20 December 2017

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Papers citing "Revisiting the Master-Slave Architecture in Multi-Agent Deep Reinforcement Learning"

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Title
Decentralized Coordination in Partially Observable Queueing NetworksGlobal Communications Conference (GLOBECOM), 2022 Jiekai Jia Anam Tahir Heinz Koeppl 127 2 0 29 Aug 2022
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent EnvironmentPortuguese Conference on Artificial Intelligence (EPIA), 2022 Diogo S. Carvalho B. Sengupta 112 2 0 06 Mar 2022
Adaptive Discrete Communication Bottlenecks with Dynamic Vector QuantizationAAAI Conference on Artificial Intelligence (AAAI), 2022 Dianbo Liu Alex Lamb Xu Ji Pascal Junior Tikeng Notsawo Michael C. Mozer Yoshua Bengio Kenji Kawaguchi 121 16 0 02 Feb 2022
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor NetworksNeural Information Processing Systems (NeurIPS), 2020 Jing Xu Fangwei Zhong Yizhou Wang 115 59 0 25 Oct 2020
Multi-Agent Routing Value Iteration NetworkInternational Conference on Machine Learning (ICML), 2020 Quinlan Sykora Mengye Ren R. Urtasun 209 42 0 09 Jul 2020
Multi-agent Reinforcement Learning for Networked System ControlInternational Conference on Learning Representations (ICLR), 2020 Tianshu Chu Sandeep P. Chinchali Sachin Katti 188 129 0 03 Apr 2020
R-MADDPG for Partially Observable Environments and Limited Communication Rose E. Wang M. Everett Jonathan P. How 114 93 0 16 Feb 2020
A Survey of Deep Reinforcement Learning in Video Games Youssef Attia El Hili Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 267 223 0 23 Dec 2019
Learning Agent Communication under Limited Bandwidth by Message PruningAAAI Conference on Artificial Intelligence (AAAI), 2019 Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong Yan Ni 114 105 0 03 Dec 2019
Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement Learning Carsten Hahn Thomy Phan Thomas Gabor Lenz Belzner Claudia Linnhoff-Popien 104 24 0 10 May 2019
Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning S. Ahilan Peter Dayan 148 82 0 24 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 193 75 0 12 Jan 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 278 913 0 31 Dec 2018
Cooperative Multi-Agent Policy Gradients with Sub-optimal Demonstration Peixi Peng Junliang Xing 112 0 0 05 Dec 2018
Macro action selection with deep reinforcement learning in StarCraft Sijia Xu Hongyu Kuang Zhi Zhuang Renjie Hu Yang Liu Huyang Sun 253 30 0 02 Dec 2018
Learning Attentional Communication for Multi-Agent Cooperation Jiechuan Jiang Zongqing Lu 242 539 0 20 May 2018