Marl
Related papers: 13
Top Researchers
Top Cited Papers
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
Citations: 1121 • 2021
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
Citations: 124 • 2019
Safe multi-agent reinforcement learning for multi-robot control
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Yang Long, Alois Knoll, Yaodong Yang
Citations: 120 • 2023
Argus: Smartphone-enabled human cooperation for disaster situational awareness via MARL
Vidyasagar Sadhu, Gabriel Salles-Loustau, Dario Pompili, Saman Zonouz, Vincent Sritapan
Citations: 14 • 2017
ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning
Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu
Citations: 10 • 2023
NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao
Citations: 9 • 2023
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua, Dong Chen, Xinda Qi, Kun Jiang, Zemin Eitan Liu, Quan Zhou, Hongming Xu
Citations: 7 • 2023
Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control
Shangding Gu, Dianye Huang, Muning Wen, Guang Chen, Alois Knoll
Citations: 5 • 2024
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
Andreas Kontogiannis, Foteini Papadopoulou, Chaido Poulianou, Ioannis Koumentis, George A. Vouros
Citations: 3 • 2025
Runtime Verification-Based Safe MARL for Optimized Safety Policy Generation for Multi-Robot Systems
Yang Liu, Jiankun Li
Citations: 3 • 2024
MADES: A Unified Framework for Integrating Agent-Based Simulation with Multi-Agent Reinforcement Learning
Xiaohan Wang, Zhang Li, Yuanjun Laili, Kunyu Xie, Han Lu, Chun Zhao
Citations: 3 • 2021
Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation
Takumi Aotani, Taisuke Kobayashi, Kenji Sugimoto
Citations: 3 • 2018
Awareness Map Enabled Semi-Centralized MARL for Multi-Robot Collaboration
Ayesha Siddiqua, Siming Liu, Kevin Mouser, Melony Harris
Citations: 2 • 2025