bayesian regret

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 On Bits and Bandits: Quantifying the Regret-Information Trade-off ICLR 2025 Thompson Sampling for Bandit Convex Optimisation COLT 2025 Bayesian Regret Minimization in Offline Bandits ICML 2024 Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning ICLR 2024 Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024 Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints ICML 2024 Continuous-in-time Limit for Bayesian Bandits JMLR 2023 Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning NeurIPS 2023 Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023 Nonstationary Bandit Learning via Predictive Sampling AISTATS 2023 Online Restless Bandits with Unobserved States ICML 2023 Posterior sampling-based online learning for the stochastic shortest path model UAI 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023 Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023 STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning ICML 2023 Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NeurIPS 2022 Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NeurIPS 2022 Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits NeurIPS 2022 Regret Bounds for Information-Directed Reinforcement Learning NeurIPS 2022 Information Directed Sampling for Sparse Linear Bandits NeurIPS 2021