:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Yang, Hyukjun, Lim, Han-Dong, Lee, Donghwan
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning
Accesso online:	https://arxiv.org/abs/2604.06837
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bellman Residual Minimization for Control: Geometry, Stationarity, and Convergence
di: Lee, Donghwan, et al.
Pubblicazione: (2026)

Periodic Regularized Q-Learning
di: Yang, Hyukjun, et al.
Pubblicazione: (2026)

Understanding the theoretical properties of projected Bellman equation, linear Q-learning, and approximate value iteration
di: Lim, Han-Dong, et al.
Pubblicazione: (2025)

Finite-Time Analysis of Temporal Difference Learning with Experience Replay
di: Lim, Han-Dong, et al.
Pubblicazione: (2023)

Analysis of Off-Policy $n$-Step TD-Learning with Linear Function Approximation
di: Lim, Han-Dong, et al.
Pubblicazione: (2025)

A Switching System Theory of Q-Learning with Linear Function Approximation
di: Lee, Donghwan, et al.
Pubblicazione: (2026)

Regularized Q-learning
di: Lim, Han-Dong, et al.
Pubblicazione: (2022)

Backstepping Temporal Difference Learning
di: Lim, Han-Dong, et al.
Pubblicazione: (2023)

A primal-dual perspective for distributed TD-learning
di: Lim, Han-Dong, et al.
Pubblicazione: (2023)

A finite time analysis of distributed Q-learning
di: Lim, Han-Dong, et al.
Pubblicazione: (2024)

Analysis of approximate linear programming solution to Markov decision problem with log barrier function
di: Lee, Donghwan, et al.
Pubblicazione: (2025)

Toward a Unified Lyapunov-Certified ODE Convergence Analysis of Smooth Q-Learning with p-Norms
di: Lee, Donghwan, et al.
Pubblicazione: (2024)

Finite-Time Error Analysis of Soft Q-Learning: Switching System Approach
di: Jeong, Narim, et al.
Pubblicazione: (2024)

Distributional Off-policy Evaluation with Bellman Residual Minimization
di: Hong, Sungee, et al.
Pubblicazione: (2024)

Learning the Model While Learning Q: Finite-Time Sample Complexity of Online SyncMBQ
di: Lim, Han-Dong, et al.
Pubblicazione: (2024)

New Versions of Gradient Temporal Difference Learning
di: Lee, Donghwan, et al.
Pubblicazione: (2021)

Soft Deterministic Policy Gradient with Gaussian Smoothing
di: Na, Hyunjun, et al.
Pubblicazione: (2026)

Stability and Generalization for Bellman Residuals
di: Kang, Enoch H., et al.
Pubblicazione: (2025)

Dual Formulation for Non-Rectangular Lp Robust Markov Decision Processes
di: Kumar, Navdeep, et al.
Pubblicazione: (2025)

Analysis of Off-Policy Multi-Step TD-Learning with Linear Function Approximation
di: Lee, Donghwan
Pubblicazione: (2024)

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

Safe-Support Q-Learning: Learning without Unsafe Exploration
di: Lim, Yeeun, et al.
Pubblicazione: (2026)

Trajectory Bellman Residual Minimization: A Simple Value-Based Method for LLM Reasoning
di: Yuan, Yurun, et al.
Pubblicazione: (2025)

Finite-Time Analysis of Simultaneous Double Q-learning
di: Na, Hyunjun, et al.
Pubblicazione: (2024)

Finite-Time Analysis of Q-Value Iteration for General-Sum Stackelberg Games
di: Jeong, Narim, et al.
Pubblicazione: (2026)

Continuous-Time Distributed Dynamic Programming for Networked Multi-Agent Markov Decision Processes
di: Lee, Donghwan, et al.
Pubblicazione: (2023)

R-GTD: A Geometric Analysis of Gradient Temporal-Difference Learning in Singular Regimes
di: Na, Hyunjun, et al.
Pubblicazione: (2026)

Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
di: Kim, Taehoon, et al.
Pubblicazione: (2025)

Lyapunov-Certified Direct Switching Theory for Q-Learning
di: Lee, Donghwan
Pubblicazione: (2026)

A Priori Sampling of Transition States with Guided Diffusion
di: Lim, Hyukjun, et al.
Pubblicazione: (2026)

Target-Aligned Bellman Backup for Cross-domain Offline Reinforcement Learning
di: Liu, Wei, et al.
Pubblicazione: (2026)

Taming the Adversary: Stable Minimax Deep Deterministic Policy Gradient via Fractional Objectives
di: Lee, Taeho, et al.
Pubblicazione: (2026)

Breiman meets Bellman: Non-Greedy Decision Trees with MDPs
di: Kohler, Hector, et al.
Pubblicazione: (2023)

Fitted $Q$ Evaluation Without Bellman Completeness via Stationary Weighting
di: van der Laan, Lars, et al.
Pubblicazione: (2025)

Adaptive Policy Backbone via Shared Network
di: Park, Bumgeun, et al.
Pubblicazione: (2025)

Suppressing Overestimation in Q-Learning through Adversarial Behaviors
di: Lee, HyeAnn, et al.
Pubblicazione: (2023)

OTSS: Output-Targeted Soft Segmentation for Contextual Decision-Weight Learning
di: Hu, Renjun, et al.
Pubblicazione: (2026)

Bellman Error Centering
di: Chen, Xingguo, et al.
Pubblicazione: (2025)

Finite-Time Accuracy of Temporal-Difference Learning Under Schur-Stable Recursions
di: Lee, Donghwan, et al.
Pubblicazione: (2022)

Studying the Korean Word-Chain Game with RLVR: Mitigating Reward Conflicts via Curriculum Learning
di: Rho, Donghwan
Pubblicazione: (2025)