Optimal Control

Optimal Cost Design for Model Predictive Control L4DC 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Optimizing Optimizers: Regret-optimal gradient descent algorithms COLT 2021 Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems NeurIPS 2021 Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging CVPR 2021 Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models AAAI 2021 PID Accelerated Value Iteration Algorithm ICML 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Probabilistic robust linear quadratic regulators with Gaussian processes L4DC 2021 Real-Time Pricing Optimization for Ride-Hailing Quality of Service IJCAI 2021 Regret Bounds for Adaptive Nonlinear Control L4DC 2021 Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021 Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation AAAI 2021 Safely Learning Dynamical Systems from Short Trajectories L4DC 2021 Safe Pontryagin Differentiable Programming NeurIPS 2021 Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021 Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021 Stability and Identification of Random Asynchronous Linear Time-Invariant Systems L4DC 2021 Stable Online Control of Linear Time-Varying Systems L4DC 2021 Suboptimal coverings for continuous spaces of control tasks L4DC 2021 Task-Optimal Exploration in Linear Dynamical Systems ICML 2021 The Impact of Data on the Stability of Learning-Based Control L4DC 2021 Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021 When to stop value iteration: stability and near-optimality versus computation L4DC 2021 A shooting formulation of deep learning NeurIPS 2020