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← Optimization
Mathematics & Optimization
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Optimization
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Optimal Control
225 directly classified papers
Papers per year
2006: 3
2007: 3
2008: 2
2009: 1
2010: 4
2011: 3
2012: 2
2013: 5
2014: 5
2015: 1
2016: 1
2017: 3
2018: 11
2019: 21
2020: 26
2021: 46
2022: 27
2023: 22
2024: 32
2025: 7
Papers
Suboptimal coverings for continuous spaces of control tasks
L4DC 2021
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
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
Nonlinear Data-Enabled Prediction and Control
L4DC 2021
Safely Learning Dynamical Systems from Short Trajectories
L4DC 2021
Regret Bounds for Adaptive Nonlinear Control
L4DC 2021
Neural Lyapunov Redesign
L4DC 2021
When to stop value iteration: stability and near-optimality versus computation
L4DC 2021
Certainty Equivalent Perception-Based Control
L4DC 2021
Probabilistic robust linear quadratic regulators with Gaussian processes
L4DC 2021
Data-Driven Controller Design via Finite-Horizon Dissipativity
L4DC 2021
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
L4DC 2021
Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control
CVPR 2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging
CVPR 2021
Data-driven design of switching reference governors for brake-by-wire applications
L4DC 2021
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
NIPS 2021
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models
AAAI 2021
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
AAAI 2021
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