:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Schmitt-Förster, Peter, Sutter, Tobias
Formato:	Preprint
Publicado:	2024
Materias:	Optimization and Control Machine Learning
Acceso en línea:	https://arxiv.org/abs/2405.02201
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
por: Kamoutsi, Angeliki, et al.
Publicado: (2024)

A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance
por: Wolter, Axel Friedrich, et al.
Publicado: (2025)

Distributional Adversarial Attacks and Training in Deep Hedging
por: He, Guangyi, et al.
Publicado: (2025)

Sample Complexity of Variance-reduced Distributionally Robust Q-learning
por: Wang, Shengbo, et al.
Publicado: (2023)

Central Limit Theorems for Asynchronous Averaged Q-Learning
por: Liu, Xingtu
Publicado: (2025)

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets
por: Li, Mengmeng, et al.
Publicado: (2023)

Robust Regression over Averaged Uncertainty
por: Bertsimas, Dimitris, et al.
Publicado: (2023)

Towards Optimal Offline Reinforcement Learning
por: Li, Mengmeng, et al.
Publicado: (2025)

On Convergence of Average-Reward Q-Learning in Weakly Communicating Markov Decision Processes
por: Wan, Yi, et al.
Publicado: (2024)

Regularization for Adversarial Robust Learning
por: Wang, Jie, et al.
Publicado: (2024)

Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
por: Chen, Zijun, et al.
Publicado: (2025)

Robust Q-Learning under Corrupted Rewards
por: Maity, Sreejeet, et al.
Publicado: (2024)

Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network
por: Huang, Zih-Syuan, et al.
Publicado: (2024)

Convergence and stability of Q-learning in Hierarchical Reinforcement Learning
por: Manenti, Massimiliano, et al.
Publicado: (2025)

Robust Implicit Regularization via Weight Normalization
por: Chou, Hung-Hsu, et al.
Publicado: (2023)

Non-Rectangular Average-Reward Robust MDPs: Optimal Policies and Their Transient Values
por: Wang, Shengbo, et al.
Publicado: (2026)

Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity
por: Boveiri, Mohammad, et al.
Publicado: (2024)

On Generalization and Regularization via Wasserstein Distributionally Robust Optimization
por: Wu, Qinyu, et al.
Publicado: (2022)

Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation
por: Zhang, Yixuan, et al.
Publicado: (2024)

Bellman Optimality of Average-Reward Robust Markov Decision Processes with a Constant Gain
por: Wang, Shengbo, et al.
Publicado: (2025)

Optimal Sample Complexity for Average Reward Markov Decision Processes
por: Wang, Shengbo, et al.
Publicado: (2023)

Implicit Regularization Makes Overparameterized Asymmetric Matrix Sensing Robust to Perturbations
por: Wind, Johan S.
Publicado: (2023)

Online reinforcement learning via sparse Gaussian mixture model Q-functions
por: Vu, Minh, et al.
Publicado: (2025)

Robust $Q$-learning Algorithm for Markov Decision Processes under Wasserstein Uncertainty
por: Neufeld, Ariel, et al.
Publicado: (2022)

Robust Fitted-Q-Evaluation and Iteration under Sequentially Exogenous Unobserved Confounders
por: Bruns-Smith, David, et al.
Publicado: (2023)

Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
por: Yang, Yufeng, et al.
Publicado: (2025)

Distributionally Robust Deep Q-Learning
por: Lu, Chung I, et al.
Publicado: (2025)

DADA: Dual Averaging with Distance Adaptation
por: Moshtaghifar, Mohammad, et al.
Publicado: (2025)

Q3R: Quadratic Reweighted Rank Regularizer for Effective Low-Rank Training
por: Ghosh, Ipsita, et al.
Publicado: (2025)

A Unified Analysis for Finite Weight Averaging
por: Wang, Peng, et al.
Publicado: (2024)

Planning and Learning in Average Risk-aware MDPs
por: Wang, Weikai, et al.
Publicado: (2025)

Refined Analysis of Federated Averaging and Federated Richardson-Romberg
por: Mangold, Paul, et al.
Publicado: (2024)

Composite Optimization with Error Feedback: the Dual Averaging Approach
por: Gao, Yuan, et al.
Publicado: (2025)

Layer-wise Quantization for Quantized Optimistic Dual Averaging
por: Nguyen, Anh Duc, et al.
Publicado: (2025)

Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
por: Boone, Victor, et al.
Publicado: (2024)

(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number
por: Nenov, Rossen, et al.
Publicado: (2024)

Cauchy-Schwarz Regularizers
por: Taner, Sueda, et al.
Publicado: (2025)

Performance of NPG in Countable State-Space Average-Cost RL
por: Murthy, Yashaswini, et al.
Publicado: (2024)

A Simplified Analysis of SGD for Linear Regression with Weight Averaging
por: Meterez, Alexandru, et al.
Publicado: (2025)

Unified Convergence Analysis for Adaptive Optimization with Moving Average Estimator
por: Guo, Zhishuai, et al.
Publicado: (2021)