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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
On Global and Local Convergence of Iterative Linear Quadratic Optimization Algorithms for Discrete Time Nonlinear Control
JMLR 2025
Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure
AAAI 2025
Traffic Scenario Logic: A Spatial-Temporal Logic for Modeling and Reasoning of Urban Traffic Scenarios
AAAI 2025
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates
IJCAI 2025
Optimal Control Operator Perspective and a Neural Adaptive Spectral Method
AAAI 2025
Optimal and Efficient Binary Questioning for Accelerated Annotation
AAAI 2025
Learning with Linear Function Approximations in Mean-Field Control
JMLR 2025
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
AAAI 2024
Fast Proxy Experiment Design for Causal Effect Identification
NIPS 2024
Doubly Mild Generalization for Offline Reinforcement Learning
NIPS 2024
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
AAAI 2024
Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs
NIPS 2024
Optimal deep learning of holomorphic operators between Banach spaces
NIPS 2024
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
AAAI 2024
Tight Rates for Bandit Control Beyond Quadratics
NIPS 2024
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling
NIPS 2024
Physics-Informed Representation and Learning: Control and Risk Quantification
AAAI 2024
AdjointDEIS: Efficient Gradients for Diffusion Models
NIPS 2024
Soft-constrained Schrödinger Bridge: a Stochastic Control Approach
AISTATS 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
NIPS 2024
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
AISTATS 2024
Stochastic Optimal Control for Diffusion Bridges in Function Spaces
NIPS 2024
Solving Minimum-Cost Reach Avoid using Reinforcement Learning
NIPS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
NIPS 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
NIPS 2024
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