Optimal Control
271 papers
Papers per year
3
3
2
2
4
4
2
5
6
2
2
3
11
22
26
48
31
23
35
28
9
'10
'15
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'25
Papers
Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games
L4DC 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
AAAI 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
JMLR 2025
Optimal and Efficient Binary Questioning for Accelerated Annotation
AAAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
AAAI 2025
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
ICLR 2025
Robust Inverse Reinforcement Learning Control with Unknown States
L4DC 2025
Self-supervised Optimality-Guided Learning of Speech Articulation
Interspeech 2025
Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces
AISTATS 2025
Temporal Logic Control for Nonlinear Stochastic Systems Under Unknown Disturbances
L4DC 2025
Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models
L4DC 2025
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
AAAI 2025
Abstract Action Scheduling for Optimal Temporal Planning via OMT
AAAI 2024
AdjointDEIS: Efficient Gradients for Diffusion Models
NeurIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective
NeurIPS 2024
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
AAAI 2024
Constrained Synthesis with Projected Diffusion Models
NeurIPS 2024
Decision-Focused Learning with Directional Gradients
NeurIPS 2024
Differentiable Quantum Computing for Large-scale Linear Control
NeurIPS 2024
Disentangling Linear Quadratic Control with Untrusted ML Predictions
NeurIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning
NeurIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification
NeurIPS 2024
Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control
ICLR 2024
Input-to-State Stable Coupled Oscillator Networks for Closed-form Model-based Control in Latent Space
NeurIPS 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
NeurIPS 2024