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Optimal Control

225 papers

Papers per year

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26
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Papers

Optimal and Efficient Binary Questioning for Accelerated Annotation AAAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios AAAI 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates IJCAI 2025
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control JMLR 2025
Learning with Linear Function Approximations in Mean-Field Control JMLR 2025
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
AdjointDEIS: Efficient Gradients for Diffusion Models NIPS 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Optimal deep learning of holomorphic operators between Banach spaces NIPS 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces NIPS 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning NIPS 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs NIPS 2024
Differentiable Quantum Computing for Large-scale Linear Control NIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective NIPS 2024
Tight Rates for Bandit Control Beyond Quadratics NIPS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems NIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning NIPS 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees NIPS 2024
Zero-Shot Transfer of Neural ODEs NIPS 2024
Performative Control for Linear Dynamical Systems NIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NIPS 2024