Ausgabe 1/2023
Special Issue on Multi-agent Dynamic Decision Making and Learning
Inhalt (15 Artikel)
Preface
Special Issue : Multi-Agent Dynamic Decision Making and Learning
Konstantin Avrachenkov, Vivek S. Borkar, U. Jayakrishnan Nair
Open Access
Multi-Agent Natural Actor-Critic Reinforcement Learning Algorithms
Prashant Trivedi, Nandyala Hemachandra
Robustness and Sample Complexity of Model-Based MARL for General-Sum Markov Games
Jayakumar Subramanian, Amit Sinha, Aditya Mahajan
Reinforcement Learning for Non-stationary Discrete-Time Linear–Quadratic Mean-Field Games in Multiple Populations
Muhammad Aneeq uz Zaman, Erik Miehling, Tamer Başar
Provably Efficient Reinforcement Learning in Decentralized General-Sum Markov Games
Weichao Mao, Tamer Başar
Robust Networked Multiagent Optimization: Designing Agents to Repair Their Own Utility Functions
Philip N. Brown, Joshua H. Seaton, Jason R. Marden
Robust Utility Design in Distributed Resource Allocation Problems with Defective Agents
Bryce L. Ferguson, Jason R. Marden
Open Access
Where Do Mistakes Lead? A Survey of Games with Incompetent Players
Thomas Graham, Maria Kleshnina, Jerzy A. Filar
Open Access
Asymptotic Optimality for Decentralised Bandits
Conor J. Newton, Ayalvadi Ganesh, Henry W. J. Reeve
Open Access
Coordinated Replenishment Game and Learning Under Time Dependency and Uncertainty of the Parameters
Stefanny Ramirez, Laurence H. van Brandenburg, Dario Bauso
Dynamic Games Among Teams with Delayed Intra-Team Information Sharing
Dengwang Tang, Hamidreza Tavafoghi, Vijay Subramanian, Ashutosh Nayyar, Demosthenis Teneketzis
Opinion Dynamics Control in a Social Network with a Communication Structure
Hui Jiang, Vladimir V. Mazalov, Hongwei Gao, Chen Wang