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Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties.

, , , and . Frontiers Robotics AI, (2021)

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Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties., , , and . Frontiers Robotics AI, (2021)Target Tracking Subject to Intermittent Measurements Using Attention Deep Neural Networks., , , , , and . IEEE Control. Syst. Lett., (2023)Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning., , , , and . CoRR, (2022)Development of a Robust, Sparsely-Activated, and Deep Recurrent Neural Network Controller for Flight Applications., and . CDC, page 384-390. IEEE, (2018)Development of a robust deep recurrent neural network controller for flight applications., and . ACC, page 5336-5342. IEEE, (2017)Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers., , and . ACC, page 639-646. IEEE, (2020)A Safety Aware Model-Based Reinforcement Learning Framework for Systems with Uncertainties., , , , and . ACC, page 1979-1984. IEEE, (2021)Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers., , and . CoRR, (2019)Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems., , , , and . CoRR, (2021)Passivity-Based Target Tracking Robust to Intermittent Measurements., , and . ACC, page 1626-1631. IEEE, (2022)