Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense

20 July 2020

Papers citing "Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense"

6 / 6 papers shown

Title
Learning Near-Optimal Intrusion Responses Against Dynamic Attackers K. Hammar Rolf Stadler AAML 78 13 0 11 Jan 2023
RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-day Attacks in IoT Alberto Huertas Celdrán Pedro Miguel Sánchez Sánchez Jan von der Assen T. Schenk Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller AAML 55 7 0 30 Dec 2022
Pandering in a Flexible Representative Democracy Xiaolin Sun Jacob Masur Ben Abramowitz Nicholas Mattei Zizhan Zheng 51 1 0 18 Nov 2022
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 107 71 0 02 Jul 2021
Survey on Multi-Agent Q-Learning frameworks for resource management in wireless sensor network Arvin Tashakori 10 1 0 05 May 2021
Model Free Reinforcement Learning Algorithm for Stationary Mean field Equilibrium for Multiple Types of Agents A. Ghosh Vaneet Aggarwal 105 7 0 31 Dec 2020