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Optimal Control

225 papers

Papers per year

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26
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Papers

On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization ICML 2021
Online Policy Gradient for Model Free Learning of Linear Quadratic Regulators with $\sqrt$T Regret ICML 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021
PID Accelerated Value Iteration Algorithm ICML 2021
Variational Data Assimilation with a Learned Inverse Observation Operator ICML 2021
Learning to Price Against a Moving Target ICML 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes ICML 2021
Task-Optimal Exploration in Linear Dynamical Systems ICML 2021
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm ICML 2021
Real-Time Pricing Optimization for Ride-Hailing Quality of Service IJCAI 2021
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021
Data-driven design of switching reference governors for brake-by-wire applications L4DC 2021
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control L4DC 2021
Data-Driven Controller Design via Finite-Horizon Dissipativity L4DC 2021
Probabilistic robust linear quadratic regulators with Gaussian processes L4DC 2021
Certainty Equivalent Perception-Based Control L4DC 2021
When to stop value iteration: stability and near-optimality versus computation L4DC 2021
Neural Lyapunov Redesign L4DC 2021
Regret Bounds for Adaptive Nonlinear Control L4DC 2021
Safely Learning Dynamical Systems from Short Trajectories L4DC 2021
Nonlinear Data-Enabled Prediction and Control L4DC 2021
Suboptimal coverings for continuous spaces of control tasks L4DC 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems 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