dynamic regret

Pausing Policy Learning in Non-stationary Reinforcement Learning ICML 2024 Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization AAAI 2024 Predictive Linear Online Tracking for Unknown Targets ICML 2024 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NeurIPS 2023 ANACONDA: An Improved Dynamic Regret Algorithm for Adaptive Non-Stationary Dueling Bandits AISTATS 2023 A New Look at Dynamic Regret for Non-Stationary Stochastic Bandits JMLR 2023 An Optimization-based Algorithm for Non-stationary Kernel Bandits without Prior Knowledge AISTATS 2023 Dynamic Regret of Adversarial Linear Mixture MDPs NeurIPS 2023 Improved Dynamic Regret for Online Frank-Wolfe COLT 2023 Minimizing Dynamic Regret on Geodesic Metric Spaces COLT 2023 Non-stationary Reinforcement Learning under General Function Approximation ICML 2023 Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design AAAI 2023 Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NeurIPS 2023 Online Non-stochastic Control with Partial Feedback JMLR 2023 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization ICML 2023 Provably Efficient Algorithm for Nonstationary Low-Rank MDPs NeurIPS 2023 Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints AAAI 2023 Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking L4DC 2023 Second Order Path Variationals in Non-Stationary Online Learning AISTATS 2023 Tempo Adaptation in Non-stationary Reinforcement Learning NeurIPS 2023 Unconstrained Dynamic Regret via Sparse Coding NeurIPS 2023 Unconstrained Online Learning with Unbounded Losses ICML 2023 When Can We Track Significant Preference Shifts in Dueling Bandits? NeurIPS 2023 Adapting to Online Label Shift with Provable Guarantees NeurIPS 2022 Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity NeurIPS 2022