Guided Deep Reinforcement Learning for Swarm Systems

18 September 2017

Papers citing "Guided Deep Reinforcement Learning for Swarm Systems"

22 / 22 papers shown

Title
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning Junkai Zhang Yifan Zhang Xi Sheryl Zhang Yifan Zang Jian Cheng 44 4 0 26 Jun 2024
SMAUG: A Sliding Multidimensional Task Window-Based MARL Framework for Adaptive Real-Time Subtask Recognition Wenjing Zhang Wei Zhang 47 0 0 04 Mar 2024
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions Shanqi Liu Weiwei Liu Wenzhou Chen Guanzhong Tian Y. Liu 35 0 0 05 Jul 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization Yongsheng Mei Hanhan Zhou Tian-Shing Lan Guru Venkataramani Peng Wei 39 38 0 21 Feb 2023
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning Yongsheng Mei Hanhan Zhou Tian-Shing Lan 38 11 0 11 Feb 2023
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 33 23 0 06 Dec 2022
Credit-cognisant reinforcement learning for multi-agent cooperation F. Bredell S. M. I. H. A. Engelbrecht M. I. J. C. Schoeman 13 0 0 18 Nov 2022
Collisionless Pattern Discovery in Robot Swarms Using Deep Reinforcement Learning Nelson Sharma A. Ghosh R. Misra S. Mukhopadhyay Gokarna Sharma 25 1 0 20 Sep 2022
Off-Beat Multi-Agent Reinforcement Learning Wei Qiu Weixun Wang R. Wang Bo An Yujing Hu S. Obraztsova Zinovi Rabinovich Jianye Hao Yingfeng Chen Changjie Fan OffRL 29 2 0 27 May 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles Suleman Qamar Dr. Saddam Hussain Khan Muhammad Arif Arshad Maryam Qamar Asifullah Khan 29 16 0 13 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 24 4 0 09 Feb 2022
LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning D. Mguni Taher Jafferjee Jianhong Wang Oliver Slumbers Nicolas Perez Nieves Feifei Tong Yang Li Jiangcheng Zhu Yaodong Yang Jun Wang 45 18 0 05 Dec 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration Lu Zheng Jiarui Chen Jianhao Wang Jiamin He Yujing Hu Yingfeng Chen Changjie Fan Yang Gao Chongjie Zhang 16 82 0 22 Nov 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 42 36 0 05 Aug 2021
Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning Jian Hu Siyang Jiang Seth Austin Harding Haibin Wu Shihua Liao 24 86 0 06 Feb 2021
Multi-agent navigation based on deep reinforcement learning and traditional pathfinding algorithm Hong Qiu AI4CE 19 6 0 05 Dec 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 51 437 0 03 Aug 2020
Towards Understanding Cooperative Multi-Agent Q-Learning with Value Factorization Jianhao Wang Zhizhou Ren Beining Han Jianing Ye Chongjie Zhang OffRL 31 32 0 31 May 2020
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 67 772 0 19 Mar 2020
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications Thanh Thi Nguyen Ngoc Duy Nguyen S. Nahavandi 27 774 0 31 Dec 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 84 1,656 0 30 Mar 2018