{"total":22,"rows":[{"id":"2102.05406","title":"Non-stationary Reinforcement Learning without Prior Knowledge: An Optimal Black-box Approach","created":"2021-02-10","cited_by_count":98,"area":null},{"id":"2107.02371","title":"Weighted Gaussian Process Bandits for Non-stationary Environments","created":"2021-07-06","cited_by_count":30,"area":null},{"id":"2404.06831","title":"Generalized Linear Bandits with Limited Adaptivity","created":"2024-04-10","cited_by_count":22,"area":null},{"id":"2205.01970","title":"Non-Stationary Bandit Learning via Predictive Sampling","created":"2022-05-04","cited_by_count":21,"area":null},{"id":"2103.05750","title":"Regret Bounds for Generalized Linear Bandits under Parameter Drift","created":"2021-03-09","cited_by_count":13,"area":null},{"id":"2212.13540","title":"Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation","created":"2022-12-27","cited_by_count":13,"area":null},{"id":"2210.14322","title":"ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits","created":"2022-10-25","cited_by_count":8,"area":null},{"id":"2205.13044","title":"Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments","created":"2022-05-25","cited_by_count":6,"area":null},{"id":"2302.08345","title":"Linear Bandits with Memory: from Rotting to Rising","created":"2023-02-16","cited_by_count":6,"area":null},{"id":"2601.01069","title":"Revisiting Weighted Strategy for Non-stationary Parametric Bandits and MDPs","created":"2026-01-03","cited_by_count":5,"area":null},{"id":"2403.10732","title":"Variance-Dependent Regret Bounds for Non-stationary Linear Bandits","created":"2024-03-15","cited_by_count":2,"area":null},{"id":"2303.02504","title":"MNL-Bandit in non-stationary environments","created":"2023-03-04","cited_by_count":1,"area":null},{"id":"2310.07786","title":"Non-Stationary Contextual Bandit Learning via Neural Predictive Ensemble Sampling","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2502.00108","title":"Tracking Most Significant Shifts in Infinite-Armed Bandits","created":"2025-01-31","cited_by_count":1,"area":null},{"id":"2505.14102","title":"High-dimensional Nonparametric Contextual Bandit Problem","created":"2025-05-20","cited_by_count":1,"area":null},{"id":"2608.15848","title":"Generalized Linear Bandits with Memory","created":"2026-08-16","cited_by_count":1,"area":null},{"id":"2301.12571","title":"Bounded (O(1)) Regret Recommendation Learning via Synthetic Controls Oracle","created":"2023-01-29","cited_by_count":0,"area":null},{"id":"2303.02691","title":"Revisiting Weighted Strategy for Non-stationary Parametric Bandits","created":"2023-03-05","cited_by_count":0,"area":null},{"id":"2501.19401","title":"DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2605.25590","title":"Nonstationary Generalized Linear Bandits with Discounted Online Mirror Descent","created":"2026-05-25","cited_by_count":0,"area":null},{"id":"2608.19643","title":"Time-Uniform Self-Normalized Concentration for Discounted Least Squares: Limits and Corrections","created":"2026-08-20","cited_by_count":0,"area":null},{"id":"2610.05659","title":"Bellman-Centric Learning: Near-Optimal Regret for Linear Bandits with Memory","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}