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Model-Based Reinforcement Learning via Meta-Policy Optimization.

, , , , , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 617-629. PMLR, (2018)

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PAC-Bayesian Meta-Learning: From Theory to Practice., , , and . CoRR, (2022)Lifelong bandit optimization: no prior and no regret., , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1847-1857. PMLR, (2023)Model-Based Reinforcement Learning via Meta-Policy Optimization., , , , , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 617-629. PMLR, (2018)Meta-Learning Priors for Safe Bayesian Optimization., , , and . CoRL, volume 205 of Proceedings of Machine Learning Research, page 237-265. PMLR, (2022)Noise Regularization for Conditional Density Estimation., , , , , , and . CoRR, (2019)Variational Causal Networks: Approximate Bayesian Inference over Causal Structures., , , , , , and . CoRR, (2021)Bridging the Sim-to-Real Gap with Bayesian Inference., , , , , and . CoRR, (2024)Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning., , , , , , and . CoRR, (2023)PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees., , and . CoRR, (2020)BaCaDI: Bayesian Causal Discovery with Unknown Interventions., , , , , and . CoRR, (2022)