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Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks.

, , , and . ICLR (Poster), OpenReview.net, (2017)

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Learning Control Policies for Variable Objectives from Offline Data., , , , and . SSCI, page 1674-1681. IEEE, (2023)Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks., , , and . ICLR (Poster), OpenReview.net, (2017)A Neural Reinforcement Learning Approach to Gas Turbine Control., , , and . IJCNN, page 1691-1696. IEEE, (2007)Quantum Policy Iteration via Amplitude Estimation and Grover Search - Towards Quantum Advantage for Reinforcement Learning., , , and . Trans. Mach. Learn. Res., (2023)Generating interpretable reinforcement learning policies using genetic programming., , and . GECCO (Companion), page 23-24. ACM, (2019)Automatic Trade-off Adaptation in Offline RL., , and . ESANN, (2023)Uncertainty Propagation for Efficient Exploration in Reinforcement Learning., and . ECAI, volume 215 of Frontiers in Artificial Intelligence and Applications, page 361-366. IOS Press, (2010)Safe Policy Improvement Approaches on Discrete Markov Decision Processes., , , and . ICAART (2), page 142-151. SCITEPRESS, (2022)Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning., , and . SSCI, page 1-8. IEEE, (2021)Model-based Offline Quantum Reinforcement Learning., , , and . CoRR, (2024)