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bayesian regret

33 papers

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Co-occurring keywords

thompson sampling (237) multi-armed bandit (1098) posterior sampling (152) regret bound (1926) online learning (1777) reinforcement learning (4352) bayesian regret bound (6) markov decision process (790) sequential decision making (215) rate-distortion theory (20)

Papers

Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024
Learning with Posterior Sampling for Revenue Management under Time-varying Demand IJCAI 2024
Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization AAAI 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NIPS 2024
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning ICML 2023
Online Restless Bandits with Unobserved States ICML 2023
Nonstationary Bandit Learning via Predictive Sampling AISTATS 2023
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization AISTATS 2023
Continuous-in-time Limit for Bayesian Bandits JMLR 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Leveraging Demonstrations to Improve Online Learning: Quality Matters ICML 2023
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning NIPS 2023
Scalable Safe Policy Improvement via Monte Carlo Tree Search ICML 2023
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization NIPS 2022
Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning NIPS 2022
Regret Bounds for Information-Directed Reinforcement Learning NIPS 2022
Variational Bayesian Reinforcement Learning with Regret Bounds NIPS 2021
Variational Bayesian Optimistic Sampling NIPS 2021
Information Directed Sampling for Sparse Linear Bandits NIPS 2021
Distributionally Robust Bayesian Quadrature Optimization AISTATS 2020
Dueling Posterior Sampling for Preference-Based Reinforcement Learning UAI 2020
On Thompson Sampling for Smoother-than-Lipschitz Bandits AISTATS 2020
First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring COLT 2019
Adaptive Sensor Placement for Continuous Spaces ICML 2019