Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation
From MaRDI portal
Publication:5009779
DOI10.1137/20M1322649zbMath1471.62444arXiv1912.10583OpenAlexW3184741403MaRDI QIDQ5009779
Publication date: 6 August 2021
Published in: SIAM Journal on Control and Optimization (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1912.10583
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Gradient sliding for composite optimization
- Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
- Convergence rate and averaging of nonlinear two-time-scale stochastic approximation algo\-rithms
- Stochastic approximation. A dynamical systems viewpoint.
- Convergence rate of linear two-time-scale stochastic approximation.
- First-order and stochastic optimization methods for machine learning
- An actor-critic algorithm for constrained Markov decision processes
- Acceleration of Stochastic Approximation by Averaging
- OnActor-Critic Algorithms
- Optimization Methods for Large-Scale Machine Learning
- Finite-Time Performance of Distributed Temporal-Difference Learning with Linear Function Approximation
- A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation
- Convergence Rates of Distributed Gradient Methods Under Random Quantization: A Stochastic Approximation Approach
- A Stochastic Approximation Method
This page was built for publication: Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation