optimal control

Learning Equations for Extrapolation and Control ICML 2018 Learning Parametric Closed-Loop Policies for Markov Potential Games ICLR 2018 Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018 Maximum Principle Based Algorithms for Deep Learning JMLR 2018 On Q-learning Convergence for Non-Markov Decision Processes IJCAI 2018 Q-learning with Nearest Neighbors NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Robust Locally-Linear Controllable Embedding AISTATS 2018 Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions RSS 2017 How regularization affects the critical points in linear networks NeurIPS 2017 Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion RSS 2017 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017 Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms ICML 2017 Thompson Sampling for Linear-Quadratic Control Problems AISTATS 2017 Variational Policy for Guiding Point Processes ICML 2017 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Planar Time Optimal Paths for Non-Symmetric Vehicles in Constant Flows RSS 2016 Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NeurIPS 2015 Interactive Control of Diverse Complex Characters with Neural Networks NeurIPS 2015 Non-Stationary Approximate Modified Policy Iteration ICML 2015 Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015 Approximate Policy Iteration Schemes: A Comparison ICML 2014 Optimal Neural Codes for Control and Estimation NeurIPS 2014 Optimizing Energy Production Using Policy Search and Predictive State Representations NeurIPS 2014