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finite-time analysis

31 papers

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Co-occurring keywords

temporal difference learning (149) convergence rate (607) stochastic approximation (101) regret bound (1926) reinforcement learning (4352) function approximation (319) multi-armed bandit (1098) linear function approximation (101) sample complexity (1169) policy gradient (520)

Papers

Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling AISTATS 2024
Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024
Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits JMLR 2024
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NIPS 2023
Finite-Time Analysis of Single-Timescale Actor-Critic NIPS 2023
Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation AISTATS 2023
State Dependent Performative Prediction with Stochastic Approximation AISTATS 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NIPS 2022
Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality NIPS 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
Analysis of a Target-Based Actor-Critic Algorithm with Linear Function Approximation AISTATS 2022
Nonlinear Two-Time-Scale Stochastic Approximation: Convergence and Finite-Time Performance L4DC 2021
Faster Non-asymptotic Convergence for Double Q-learning NIPS 2021
Finite-time theory for momentum Q-learning UAI 2021
Kernel-Based Reinforcement Learning: A Finite-Time Analysis ICML 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021
Finite Time Analysis of Linear Two-timescale Stochastic Approximation with Markovian Noise COLT 2020
A Finite-Time Analysis of Q-Learning with Neural Network Function Approximation ICML 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning COLT 2020
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis NIPS 2020
Finite-Time Analysis for Double Q-learning NIPS 2020
A Finite-Time Analysis of Two Time-Scale Actor-Critic Methods NIPS 2020