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Optimal Control

271 papers

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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