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Optimal Control

271 papers

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Papers

Data-driven Acceleration of MPC with Guarantees L4DC 2026 Express Lane to Efficiency and Reliability: Multi-Dimensional Control in Meta’s Express Backbone Network NSDI 2026 Latent Linear Quadratic Regulator for Robotic Control Tasks L4DC 2026 Mortise: Auto-tuning Congestion Control to Optimize QoE via Network-Aware Parameter Optimization NSDI 2026 Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding L4DC 2026 On the Exponential Stability of Koopman Model Predictive Control L4DC 2026 Optimal control of the future via prospective learning with control L4DC 2026 Realistic Internal Dynamics Are Essential for Human-Like Control: An Optimal Feedback Control Perspective L4DC 2026 Steering Where to Diffuse: Generative Modeling of Phenotypic Response Simulation with Steered Diffusion Bridge CVPR 2026 Adaptive Control of Positive Systems with Application to Learning SSP L4DC 2025 A Pontryagin Perspective on Reinforcement Learning L4DC 2025 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon L4DC 2025 Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator L4DC 2025 Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems L4DC 2025 Domain Randomization is Sample Efficient for Linear Quadratic Control L4DC 2025 Flow matching for stochastic linear control systems L4DC 2025 Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates IJCAI 2025 Informative Input Design for Dynamic Mode Decomposition L4DC 2025 Integral Performance Approximation for Continuous-Time Reinforcement Learning Control ICLR 2025 Interacting Particle Systems for Fast Linear Quadratic RL L4DC 2025 Kernel-Based Optimal Control: An Infinitesimal Generator Approach L4DC 2025 Learning and steering game dynamics towards desirable outcomes L4DC 2025 Learning to Solve Differential Equation Constrained Optimization Problems ICLR 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025