Tighter Regret Bounds for Contextual Action-Set Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Zijun, Zhang, Zihan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
by: Yu, Kihyun, et al.
Published: (2024)
by: Yu, Kihyun, et al.
Published: (2024)
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
by: Takeno, Shion, et al.
Published: (2023)
by: Takeno, Shion, et al.
Published: (2023)
Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
by: Iwazaki, Shogo
Published: (2026)
by: Iwazaki, Shogo
Published: (2026)
Queue Length Regret Bounds for Contextual Queueing Bandits
by: Bae, Seoungbin, et al.
Published: (2026)
by: Bae, Seoungbin, et al.
Published: (2026)
Tighter Generalisation Bounds via Interpolation
by: Viallard, Paul, et al.
Published: (2024)
by: Viallard, Paul, et al.
Published: (2024)
Sharp Gap-Dependent Variance-Aware Regret Bounds for Tabular MDPs
by: Chen, Shulun, et al.
Published: (2025)
by: Chen, Shulun, et al.
Published: (2025)
Reinforcement Learning and Regret Bounds for Admission Control
by: Weber, Lucas, et al.
Published: (2024)
by: Weber, Lucas, et al.
Published: (2024)
Regret Bounds for Noise-Free Cascaded Kernelized Bandits
by: Li, Zihan, et al.
Published: (2022)
by: Li, Zihan, et al.
Published: (2022)
Variance-Dependent Regret Lower Bounds for Contextual Bandits
by: He, Jiafan, et al.
Published: (2025)
by: He, Jiafan, et al.
Published: (2025)
Tighter Confidence Bounds for Sequential Kernel Regression
by: Flynn, Hamish, et al.
Published: (2024)
by: Flynn, Hamish, et al.
Published: (2024)
Tighter Risk Bounds for Mixtures of Experts
by: Akretche, Wissam, et al.
Published: (2024)
by: Akretche, Wissam, et al.
Published: (2024)
Kernelized Reinforcement Learning with Order Optimal Regret Bounds
by: Vakili, Sattar, et al.
Published: (2023)
by: Vakili, Sattar, et al.
Published: (2023)
Improved Regret Bounds of (Multinomial) Logistic Bandits via Regret-to-Confidence-Set Conversion
by: Lee, Junghyun, et al.
Published: (2023)
by: Lee, Junghyun, et al.
Published: (2023)
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents
by: Tuynman, Adrienne, et al.
Published: (2022)
by: Tuynman, Adrienne, et al.
Published: (2022)
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits
by: Di, Qiwei, et al.
Published: (2023)
by: Di, Qiwei, et al.
Published: (2023)
Regret Bounds for Reinforcement Learning from Multi-Source Imperfect Preferences
by: Shi, Ming, et al.
Published: (2026)
by: Shi, Ming, et al.
Published: (2026)
Regret Bounds for Adversarial Contextual Bandits with General Function Approximation and Delayed Feedback
by: Levy, Orin, et al.
Published: (2025)
by: Levy, Orin, et al.
Published: (2025)
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
by: Nguyen, Quan, et al.
Published: (2024)
by: Nguyen, Quan, et al.
Published: (2024)
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
by: Moradipari, Ahmadreza, et al.
Published: (2023)
by: Moradipari, Ahmadreza, et al.
Published: (2023)
Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms
by: Xu, Mengfan, et al.
Published: (2020)
by: Xu, Mengfan, et al.
Published: (2020)
Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning
by: Vakili, Sattar
Published: (2024)
by: Vakili, Sattar
Published: (2024)
Bridging Distributional and Risk-sensitive Reinforcement Learning with Provable Regret Bounds
by: Liang, Hao, et al.
Published: (2022)
by: Liang, Hao, et al.
Published: (2022)
Information-Theoretic Minimax Regret Bounds for Reinforcement Learning based on Duality
by: Bongole, Raghav, et al.
Published: (2024)
by: Bongole, Raghav, et al.
Published: (2024)
Label-NTK Alignments and A Tighter Convergence Bound in the NTK Regime
by: Marreddy, Ruchirinkil, et al.
Published: (2026)
by: Marreddy, Ruchirinkil, et al.
Published: (2026)
Finite and Corruption-Robust Regret Bounds in Online Inverse Linear Optimization under M-Convex Action Sets
by: Oki, Taihei, et al.
Published: (2026)
by: Oki, Taihei, et al.
Published: (2026)
How Does Variance Shape the Regret in Contextual Bandits?
by: Jia, Zeyu, et al.
Published: (2024)
by: Jia, Zeyu, et al.
Published: (2024)
Optimal Regret for Policy Optimization in Contextual Bandits
by: Levy, Orin, et al.
Published: (2026)
by: Levy, Orin, et al.
Published: (2026)
Fast Best-in-Class Regret for Contextual Bandits
by: Girard, Samuel, et al.
Published: (2025)
by: Girard, Samuel, et al.
Published: (2025)
Eluder-based Regret for Stochastic Contextual MDPs
by: Levy, Orin, et al.
Published: (2022)
by: Levy, Orin, et al.
Published: (2022)
Horizon-Free Regret for Linear Markov Decision Processes
by: Zhang, Zihan, et al.
Published: (2024)
by: Zhang, Zihan, et al.
Published: (2024)
Gradient-Variation Regret Bounds for Unconstrained Online Learning
by: Zhao, Yuheng, et al.
Published: (2026)
by: Zhao, Yuheng, et al.
Published: (2026)
Logarithmic Regret for Online KL-Regularized Reinforcement Learning
by: Zhao, Heyang, et al.
Published: (2025)
by: Zhao, Heyang, et al.
Published: (2025)
Tighter CMI-Based Generalization Bounds via Stochastic Projection and Quantization
by: Sefidgaran, Milad, et al.
Published: (2025)
by: Sefidgaran, Milad, et al.
Published: (2025)
Optimal Dynamic Regret by Transformers for Non-Stationary Reinforcement Learning
by: Chen, Baiyuan, et al.
Published: (2025)
by: Chen, Baiyuan, et al.
Published: (2025)
Stagewise Reinforcement Learning and the Geometry of the Regret Landscape
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Regret Guarantees for Linear Contextual Stochastic Shortest Path
by: Polikar, Dor, et al.
Published: (2025)
by: Polikar, Dor, et al.
Published: (2025)
Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
by: Flynn, Hamish, et al.
Published: (2026)
by: Flynn, Hamish, et al.
Published: (2026)
Improved Kernel Alignment Regret Bound for Online Kernel Learning
by: Li, Junfan, et al.
Published: (2022)
by: Li, Junfan, et al.
Published: (2022)
No-Regret Reinforcement Learning in Smooth MDPs
by: Maran, Davide, et al.
Published: (2024)
by: Maran, Davide, et al.
Published: (2024)
Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification
by: Lin, Xingqi, et al.
Published: (2025)
by: Lin, Xingqi, et al.
Published: (2025)
Similar Items
-
Improved Regret Bound for Safe Reinforcement Learning via Tighter Cost Pessimism and Reward Optimism
by: Yu, Kihyun, et al.
Published: (2024) -
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
by: Takeno, Shion, et al.
Published: (2023) -
Tighter Regret Lower Bound for Gaussian Process Bandits with Squared Exponential Kernel in Hypersphere
by: Iwazaki, Shogo
Published: (2026) -
Queue Length Regret Bounds for Contextual Queueing Bandits
by: Bae, Seoungbin, et al.
Published: (2026) -
Tighter Generalisation Bounds via Interpolation
by: Viallard, Paul, et al.
Published: (2024)