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Optimal Control

225 directly classified papers

Papers per year

Papers

Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023
Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023
Tensor Decompositions Meet Control Theory: Learning General Mixtures of Linear Dynamical Systems ICML 2023
Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023
A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance CVPR 2023
Simultaneous Machine Translation with Tailored Reference EMNLP 2023
Online Control for Meta-optimization NIPS 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks NIPS 2023
Krylov–Bellman boosting: Super-linear policy evaluation in general state spaces AISTATS 2023
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints JMLR 2023
Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs AISTATS 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes AAAI 2022
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems AAAI 2022
Solving PDE-Constrained Control Problems Using Operator Learning AAAI 2022
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion L4DC 2022
A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability Guarantees L4DC 2022
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information L4DC 2022
Learning-Enabled Robust Control with Noisy Measurements L4DC 2022
On the Effectiveness of Iterative Learning Control L4DC 2022
Rate-Optimal Online Convex Optimization in Adaptive Linear Control NIPS 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022
Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video CVPR 2022
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022