bayesian exploration

Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AAAI 2024 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NeurIPS 2022 Society of Agents: Regret Bounds of Concurrent Thompson Sampling NeurIPS 2022 Thompson Sampling Efficiently Learns to Control Diffusion Processes NeurIPS 2022 Meta-Thompson Sampling ICML 2021 Model-Based Active Exploration ICML 2019 Randomized Prior Functions for Deep Reinforcement Learning NeurIPS 2018 Ensemble Sampling NeurIPS 2017 Thompson Sampling for Learning Parameterized Markov Decision Processes COLT 2015 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress NeurIPS 2012