finite-time analysis

Global Convergence of Policy Gradient in Average Reward MDPs ICLR 2025 An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks ICML 2024 Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024 Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning ICLR 2024 Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024 Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024 Finite-Time Analysis of Single-Timescale Actor-Critic NeurIPS 2023 Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023 Off-Policy Average Reward Actor-Critic with Deterministic Policy Search ICML 2023 Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022 Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NeurIPS 2022 On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022 Sample and Communication-Efficient Decentralized Actor-Critic Algorithms with Finite-Time Analysis ICML 2022 State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022 Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NeurIPS 2022 Faster Non-asymptotic Convergence for Double Q-learning NeurIPS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 Finite-time theory for momentum Q-learning UAI 2021 Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity ICLR 2021 Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021 Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance L4DC 2021 A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020 A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NeurIPS 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020