finite-time bound

Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem AISTATS 2025 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms NeurIPS 2023 Faster Rates, Adaptive Algorithms, and Finite-Time Bounds for Linear Composition Optimization and Gradient TD Learning AISTATS 2022 On Multi-Armed Bandit Designs for Dose-Finding Trials JMLR 2021 Active Learning for Identification of Linear Dynamical Systems COLT 2020 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NeurIPS 2019 Near optimal finite time identification of arbitrary linear dynamical systems ICML 2019 Non-Asymptotic Analysis of Fractional Langevin Monte Carlo for Non-Convex Optimization ICML 2019 Finite-Time Bounds for Fitted Value Iteration JMLR 2008 Fitted Q-iteration in continuous action-space MDPs NeurIPS 2007