On the Convergence of Policy Mirror Descent with Temporal Difference Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Jiacai, Li, Wenye, Wei, Ke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov Data
by: Li, Wenye, et al.
Published: (2025)
by: Li, Wenye, et al.
Published: (2025)
Elementary Analysis of Policy Gradient Methods
by: Liu, Jiacai, et al.
Published: (2024)
by: Liu, Jiacai, et al.
Published: (2024)
On the Convergence of Policy in Unregularized Policy Mirror Descent
by: Lin, Dachao, et al.
Published: (2022)
by: Lin, Dachao, et al.
Published: (2022)
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
by: Liu, Jiacai, et al.
Published: (2023)
by: Liu, Jiacai, et al.
Published: (2023)
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
by: Sherman, Uri, et al.
Published: (2025)
by: Sherman, Uri, et al.
Published: (2025)
Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
by: Akhtiamov, Danil, et al.
Published: (2026)
by: Akhtiamov, Danil, et al.
Published: (2026)
A Novel Framework for Policy Mirror Descent with General Parameterization and Linear Convergence
by: Alfano, Carlo, et al.
Published: (2023)
by: Alfano, Carlo, et al.
Published: (2023)
Parameter-free Mirror Descent
by: Jacobsen, Andrew, et al.
Published: (2022)
by: Jacobsen, Andrew, et al.
Published: (2022)
Mirror Descent on Riemannian Manifolds
by: Jiang, Jiaxin, et al.
Published: (2026)
by: Jiang, Jiaxin, et al.
Published: (2026)
A Mirror Descent Perspective of Smoothed Sign Descent
by: Wang, Shuyang, et al.
Published: (2024)
by: Wang, Shuyang, et al.
Published: (2024)
Mirror Descent on Reproducing Kernel Banach Spaces
by: Kumar, Akash, et al.
Published: (2024)
by: Kumar, Akash, et al.
Published: (2024)
Mirror and Preconditioned Gradient Descent in Wasserstein Space
by: Bonet, Clément, et al.
Published: (2024)
by: Bonet, Clément, et al.
Published: (2024)
Learning Provably Improves the Convergence of Gradient Descent
by: Song, Qingyu, et al.
Published: (2025)
by: Song, Qingyu, et al.
Published: (2025)
Value Mirror Descent for Reinforcement Learning
by: Jia, Zhichao, et al.
Published: (2026)
by: Jia, Zhichao, et al.
Published: (2026)
Convergence of Spectral Descent for Non-smooth Optimization
by: Yang, Yixuan, et al.
Published: (2026)
by: Yang, Yixuan, et al.
Published: (2026)
Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction
by: Feng, Jie, et al.
Published: (2024)
by: Feng, Jie, et al.
Published: (2024)
Convergence Analysis of Stochastic Gradient Descent with MCMC Estimators
by: Li, Tianyou, et al.
Published: (2023)
by: Li, Tianyou, et al.
Published: (2023)
Mirror Descent-Type Algorithms for the Variational Inequality Problem with Functional Constraints
by: Alkousa, Mohammad S., et al.
Published: (2026)
by: Alkousa, Mohammad S., et al.
Published: (2026)
Convergence of Alternating Gradient Descent for Matrix Factorization
by: Ward, Rachel, et al.
Published: (2023)
by: Ward, Rachel, et al.
Published: (2023)
Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization
by: Gu, Zhihao, et al.
Published: (2024)
by: Gu, Zhihao, et al.
Published: (2024)
Coupling-based Convergence Diagnostic and Stepsize Scheme for Stochastic Gradient Descent
by: Li, Xiang, et al.
Published: (2024)
by: Li, Xiang, et al.
Published: (2024)
Mirror Descent-Ascent for mean-field min-max problems
by: Lascu, Razvan-Andrei, et al.
Published: (2024)
by: Lascu, Razvan-Andrei, et al.
Published: (2024)
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting
by: Gao, Bolin, et al.
Published: (2021)
by: Gao, Bolin, et al.
Published: (2021)
On the Convergence of Gradient Descent on Learning Transformers with Residual Connections
by: Qin, Zhen, et al.
Published: (2025)
by: Qin, Zhen, et al.
Published: (2025)
Open Problem: Anytime Convergence Rate of Gradient Descent
by: Kornowski, Guy, et al.
Published: (2024)
by: Kornowski, Guy, et al.
Published: (2024)
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation
by: Ke, Zhifa, et al.
Published: (2023)
by: Ke, Zhifa, et al.
Published: (2023)
Convergence Properties of Natural Gradient Descent for Minimizing KL Divergence
by: Datar, Adwait, et al.
Published: (2025)
by: Datar, Adwait, et al.
Published: (2025)
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
by: Jung, Hyunji, et al.
Published: (2025)
by: Jung, Hyunji, et al.
Published: (2025)
Exponential Convergence of (Stochastic) Gradient Descent for Separable Logistic Regression
by: Kale, Sacchit, et al.
Published: (2026)
by: Kale, Sacchit, et al.
Published: (2026)
Faster Convergence of Stochastic Accelerated Gradient Descent under Interpolation
by: Mishkin, Aaron, et al.
Published: (2024)
by: Mishkin, Aaron, et al.
Published: (2024)
Convergence of Gradient Descent with Small Initialization for Unregularized Matrix Completion
by: Ma, Jianhao, et al.
Published: (2024)
by: Ma, Jianhao, et al.
Published: (2024)
On the Convergence of Stochastic Gradient Descent with Perturbed Forward-Backward Passes
by: Kong, Boao, et al.
Published: (2026)
by: Kong, Boao, et al.
Published: (2026)
Convergence of Steepest Descent and Adam under Non-Uniform Smoothness
by: Vaswani, Sharan, et al.
Published: (2026)
by: Vaswani, Sharan, et al.
Published: (2026)
Convergence of Implicit Gradient Descent for Training Two-Layer Physics-Informed Neural Networks
by: Xu, Xianliang, et al.
Published: (2024)
by: Xu, Xianliang, et al.
Published: (2024)
Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
by: Oowada, Kanata, et al.
Published: (2025)
by: Oowada, Kanata, et al.
Published: (2025)
Convergence Rates for Gradient Descent on the Edge of Stability in Overparametrised Least Squares
by: MacDonald, Lachlan Ewen, et al.
Published: (2025)
by: MacDonald, Lachlan Ewen, et al.
Published: (2025)
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysis
by: Cayci, Semih, et al.
Published: (2024)
by: Cayci, Semih, et al.
Published: (2024)
Natural Hypergradient Descent: Algorithm Design, Convergence Analysis, and Parallel Implementation
by: Kong, Deyi, et al.
Published: (2026)
by: Kong, Deyi, et al.
Published: (2026)
A New Convergence Analysis of Plug-and-Play Proximal Gradient Descent Under Prior Mismatch
by: Xu, Guixian, et al.
Published: (2026)
by: Xu, Guixian, et al.
Published: (2026)
A connection between Tempering and Entropic Mirror Descent
by: Chopin, Nicolas, et al.
Published: (2023)
by: Chopin, Nicolas, et al.
Published: (2023)
Similar Items
-
Policy Mirror Descent with Temporal Difference Learning: Sample Complexity under Online Markov Data
by: Li, Wenye, et al.
Published: (2025) -
Elementary Analysis of Policy Gradient Methods
by: Liu, Jiacai, et al.
Published: (2024) -
On the Convergence of Policy in Unregularized Policy Mirror Descent
by: Lin, Dachao, et al.
Published: (2022) -
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
by: Liu, Jiacai, et al.
Published: (2023) -
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
by: Sherman, Uri, et al.
Published: (2025)