No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation

13 June 2022

Papers citing "No-Regret Learning in Games with Noisy Feedback: Faster Rates and Adaptivity via Learning Rate Separation"

6 / 6 papers shown

Title
A geometric decomposition of finite games: Convergence vs. recurrence under exponential weights Davide Legacci P. Mertikopoulos Bary S. R. Pradelski 37 6 0 12 May 2024
Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods Kimon Antonakopoulos Ali Kavis V. Cevher ODL 29 12 0 03 Nov 2022
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games Kenshi Abe Kaito Ariu Mitsuki Sakamoto Kenta Toyoshima Atsushi Iwasaki 34 11 0 21 Aug 2022
Near-Optimal $Φ$ -Regret Learning in Extensive-Form Games Ioannis Anagnostides Gabriele Farina T. Sandholm 34 7 0 20 Aug 2022
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games Ioannis Anagnostides C. Daskalakis Gabriele Farina Maxwell Fishelson Noah Golowich T. Sandholm 62 53 0 11 Nov 2021
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium A. Celli A. Marchesi Gabriele Farina N. Gatti 30 45 0 01 Apr 2020