Optimal Control

Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022 Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021 Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021 Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021 Calibrated Adaptive Probabilistic ODE Solvers AISTATS 2021 Certainty Equivalent Perception-Based Control L4DC 2021 Chance-constrained quasi-convex optimization with application to data-driven switched systems control L4DC 2021 Control of Unknown (Linear) Systems with Receding Horizon Learning L4DC 2021 Data-Driven Controller Design via Finite-Horizon Dissipativity L4DC 2021 Data-driven design of switching reference governors for brake-by-wire applications L4DC 2021 Differentiable Multiple Shooting Layers NeurIPS 2021 Fast Approximate Dynamic Programming for Infinite-Horizon Markov Decision Processes NeurIPS 2021 Generalized Comprehensive Motion Theory for High-Order Differential Dynamics RSS 2021 Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control CVPR 2021 Learning Dynamics Models with Stable Invariant Sets AAAI 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021 Learning to Price Against a Moving Target ICML 2021 Learning to Stop with Surprisingly Few Samples COLT 2021 Minimax Adaptive Control for a Finite Set of Linear Systems L4DC 2021 Neural Lyapunov Redesign L4DC 2021 Nonlinear Data-Enabled Prediction and Control L4DC 2021 Online Control of Unknown Time-Varying Dynamical Systems NeurIPS 2021 Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021 Online Robust Control of Nonlinear Systems with Large Uncertainty AISTATS 2021 On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021