optimal control

Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020 Strategies for Cooperative UAVs Using Model Predictive Control IJCAI 2020 Towards Autonomous Eye Surgery by Combining Deep Imitation Learning with Optimal Control CoRL 2020 TriFinger: An Open-Source Robot for Learning Dexterity CoRL 2020 Certainty Equivalence is Efficient for Linear Quadratic Control NeurIPS 2019 Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics CoRL 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Learning Linear-Quadratic Regulators Efficiently with only √T Regret ICML 2019 Logarithmic Regret for Online Control NeurIPS 2019 Optimal Control Via Neural Networks: A Convex Approach ICLR 2019 Radial Distortion Triangulation CVPR 2019 ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies NeurIPS 2019 Robust exploration in linear quadratic reinforcement learning NeurIPS 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 Stochastic Goal Recognition Design AAAI 2019 Stochastic Optimal Control as Approximate Input Inference CoRL 2019 Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems CoRL 2019 Analytical Derivatives of Rigid Body Dynamics Algorithms RSS 2018 An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks ICML 2018 Autonomous Thermalling as a Partially Observable Markov Decision Process RSS 2018 Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018 Dual Policy Iteration NeurIPS 2018 Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework ICML 2018 LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration ICML 2018 Learning convex bounds for linear quadratic control policy synthesis NeurIPS 2018