Stability of Q-Learning Through Design and Optimism

5 July 2023

Papers citing "Stability of Q-Learning Through Design and Optimism"

7 / 7 papers shown

Title
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
Quickest Change Detection Using Mismatched CUSUM Austin Cooper Sean P. Meyn 25 1 0 12 Sep 2024
DASA: Delay-Adaptive Multi-Agent Stochastic Approximation Nicolò Dal Fabbro Arman Adibi H. Vincent Poor Sanjeev R. Kulkarni A. Mitra George J. Pappas 39 2 0 25 Mar 2024
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling Arman Adibi Nicolò Dal Fabbro Luca Schenato Sanjeev R. Kulkarni H. Vincent Poor George J. Pappas Hamed Hassani A. Mitra 27 8 0 19 Feb 2024
Regularized Q-Learning with Linear Function Approximation Jiachen Xi Alfredo Garcia P. Momcilovic 25 2 0 26 Jan 2024
Convex Q Learning in a Stochastic Environment: Extended Version F. Lu Sean P. Meyn 22 3 0 10 Sep 2023
Regularized Q-learning Han-Dong Lim Donghwan Lee 19 10 0 11 Feb 2022