Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics

23 January 2023

Papers citing "Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics"

8 / 8 papers shown

Title
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity A. Hussain D. Leonte Francesco Belardinelli Raphael Huser Dario Paccagnan 45 0 0 13 Mar 2025
Mimicry and the Emergence of Cooperative Communication Dylan R. Cope Peter McBurney 16 0 0 26 May 2024
Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry Yuma Fujimoto Kaito Ariu Kenshi Abe 26 1 0 23 May 2024
Strategizing against Q-learners: A Control-theoretical Approach Yuksel Arslantas Ege Yuceel Muhammed O. Sayin 16 4 0 13 Mar 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property Ioannis Anagnostides Ioannis Panageas Gabriele Farina T. Sandholm 31 3 0 19 Dec 2023
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos A. Hussain Francesco Belardinelli 11 3 0 19 Dec 2023
Stability of Multi-Agent Learning: Convergence in Network Games with Many Players A. Hussain D. Leonte Francesco Belardinelli Georgios Piliouras MLT 11 0 0 26 Jul 2023
Adaptively Perturbed Mirror Descent for Learning in Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Atsushi Iwasaki 21 5 0 26 May 2023