Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods

27 June 2021

Papers citing "Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods"

7 / 7 papers shown

Title
Guidelines for Applying RL and MARL in Cybersecurity Applications V. Mavroudis Gregory Palmer Sara Farmer Kez Smithson Whitehead David Foster Adam Price Ian Miles Alberto Caron Stephen Pasteris AAML 49 0 0 06 Mar 2025
Leveraging Graph Neural Networks and Multi-Agent Reinforcement Learning for Inventory Control in Supply Chains Niki Kotecha Antonio del Rio Chanona 38 2 0 24 Oct 2024
MBC: Multi-Brain Collaborative Control for Quadruped Robots Hang Liu Yi Cheng Rankun Li Xiaowen Hu Linqi Ye Houde Liu 33 0 0 24 Sep 2024
Stimulate the Potential of Robots via Competition K. Huang Di Guo Xinyu Zhang Xiangyang Ji Huaping Liu 34 3 0 15 Mar 2024
Optimistic Multi-Agent Policy Gradient Wenshuai Zhao Yi Zhao Zhiyuan Li Arno Solin Joni Pajarinen 20 1 0 03 Nov 2023
Reinforcement learning for traffic signal control in hybrid action space Haoqing Luo Sheng Jin 40 7 0 23 Nov 2022
MAVEN: Multi-Agent Variational Exploration Anuj Mahajan Tabish Rashid Mikayel Samvelyan Shimon Whiteson DRL 148 355 0 16 Oct 2019