{"total":20,"rows":[{"id":"2307.04345","title":"Continual Learning as Computationally Constrained Reinforcement Learning","created":"2023-07-10","cited_by_count":37,"area":null},{"id":"2302.04452","title":"An Information-Theoretic Analysis of Nonstationary Bandit Learning","created":"2023-02-09","cited_by_count":11,"area":null},{"id":"2210.16386","title":"Non-Stationary Bandits with Auto-Regressive Temporal Dependency","created":"2022-10-28","cited_by_count":10,"area":null},{"id":"2310.18304","title":"A Stability Principle for Learning under Non-Stationarity","created":"2023-10-27","cited_by_count":10,"area":null},{"id":"2302.12202","title":"A Definition of Non-Stationary Bandits","created":"2023-02-23","cited_by_count":9,"area":null},{"id":"2411.10153","title":"A unifying framework for generalised Bayesian online learning in non-stationary environments","created":"2024-11-15","cited_by_count":5,"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":"2402.03110","title":"Non-Stationary Latent Auto-Regressive Bandits","created":"2024-02-05","cited_by_count":3,"area":null},{"id":"2405.16581","title":"On Bits and Bandits: Quantifying the Regret-Information Trade-off","created":"2024-05-26","cited_by_count":3,"area":null},{"id":"2205.10366","title":"Fast Change Identification in Multi-Play Bandits and its Applications in Wireless Networks","created":"2022-05-20","cited_by_count":2,"area":null},{"id":"2410.20596","title":"Practical Bayesian Algorithm Execution via Posterior Sampling","created":"2024-10-27","cited_by_count":2,"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":"2511.02944","title":"Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2605.19215","title":"Not all uncertainty is alike: volatility, stochasticity, and exploration","created":"2026-05-19","cited_by_count":1,"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":"2508.13657","title":"In-Context Decision Making for Optimizing Complex AutoML Pipelines","created":"2025-08-19","cited_by_count":0,"area":null},{"id":"2512.09850","title":"Conformal bandits: bringing statistical validity and reward efficiency under weak arm separability","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2603.18514","title":"On the Peril of (Even a Little) Nonstationarity in Satisficing Regret Minimization","created":"2026-03-19","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":"2609.33981","title":"Future Information-Directed Sampling for Bayesian Nonstationary Bandits","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}