Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning

18 February 2019

Papers citing "Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning"

23 / 23 papers shown

Title
Q-MARL: A quantum-inspired algorithm using neural message passing for large-scale multi-agent reinforcement learning Kha Vo Chin-Teng Lin GNN 50 0 0 10 Mar 2025
Multi-Robot Pursuit in Parameterized Formation via Imitation Learning Jinyong Chen Rui Zhou Zhaozong Wang Yunjie Zhang Guibin Sun 29 0 0 31 Oct 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 46 12 0 19 Aug 2024
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs Zhiheng Zhou Sihao Liu Weichen Zhao 24 0 0 30 May 2024
Fully Independent Communication in Multi-Agent Reinforcement Learning Rafael Pina V. D. Silva Corentin Artaud Xiaolan Liu 27 4 0 26 Jan 2024
Parameter Sharing with Network Pruning for Scalable Multi-Agent Deep Reinforcement Learning Woojun Kim Young-Jin Sung 19 7 0 02 Mar 2023
A Variational Approach to Mutual Information-Based Coordination for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Young-Jin Sung 24 7 0 01 Mar 2023
Curiosity-driven Exploration in Sparse-reward Multi-agent Reinforcement Learning Jiong Li Pratik Gajane 37 4 0 21 Feb 2023
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning Pedro P. Santos Diogo S. Carvalho Miguel Vasco Alberto Sardinha Pedro A. Santos Ana Paiva Francisco S. Melo 21 1 0 12 Oct 2022
Improving the Robustness and Generalization of Deep Neural Network with Confidence Threshold Reduction Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML OOD 19 1 0 02 Jun 2022
The Power of Communication in a Distributed Multi-Agent System P. D. Siedler 20 3 0 30 Nov 2021
Deep Multiagent Reinforcement Learning: Challenges and Directions Annie Wong Thomas Bäck Anna V. Kononova Aske Plaat AI4CE 28 87 0 29 Jun 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging Nikunj Gupta G. Srinivasaraghavan S. Mohalik Nishant Kumar Matthew E. Taylor 16 15 0 18 Jan 2021
Observation Space Matters: Benchmark and Optimization Algorithm J. Kim Sehoon Ha OOD OffRL 16 11 0 02 Nov 2020
Succinct and Robust Multi-Agent Communication With Temporal Message Control S. Zhang Jieyu Lin Qi Zhang 19 57 0 27 Oct 2020
Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint Guangzhen Hu Yuanheng Zhu Dongbin Zhao Mengchen Zhao Jianye Hao 11 17 0 10 Oct 2020
A Maximum Mutual Information Framework for Multi-Agent Reinforcement Learning Woojun Kim Whiyoung Jung Myungsik Cho Y. Sung 6 13 0 04 Jun 2020
Who2com: Collaborative Perception via Learnable Handshake Communication Yen-Cheng Liu Junjiao Tian Chih-Yao Ma Nathan Glaser Chia-Wen Kuo Z. Kira 23 161 0 21 Mar 2020
Cluster-Based Social Reinforcement Learning Mahak Goindani Jennifer Neville GNN OffRL 6 5 0 02 Mar 2020
Learning Agent Communication under Limited Bandwidth by Message Pruning Hangyu Mao Zhengchao Zhang Zhen Xiao Zhibo Gong Yan Ni 14 89 0 03 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms K. Zhang Zhuoran Yang Tamer Basar 36 1,180 0 24 Nov 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 30 550 0 12 Oct 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 111 595 0 28 Feb 2017