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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
Efficient and passive learning of networked dynamical systems driven by non-white exogenous inputs
AISTATS 2022
Sample Complexity of Robust Reinforcement Learning with a Generative Model
AISTATS 2022
Learning interacting dynamical systems with latent Gaussian process ODEs
NIPS 2022
Globally Convergent Policy Search for Output Estimation
NIPS 2022
Trajectory Optimization for Physics-Based Reconstruction of 3D Human Pose From Monocular Video
CVPR 2022
Decentralized Online Convex Optimization in Networked Systems
ICML 2022
Solving PDE-Constrained Control Problems Using Operator Learning
AAAI 2022
Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems
AAAI 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs
ICML 2022
Verification of Neural-Network Control Systems by Integrating Taylor Models and Zonotopes
AAAI 2022
Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training
ICML 2022
Fenrir: Physics-Enhanced Regression for Initial Value Problems
ICML 2022
Rate-Optimal Online Convex Optimization in Adaptive Linear Control
NIPS 2022
Task-Optimal Exploration in Linear Dynamical Systems
ICML 2021
Certainty Equivalent Perception-Based Control
L4DC 2021
Accelerated Algorithms for Smooth Convex-Concave Minimax Problems with O(1/k^2) Rate on Squared Gradient Norm
ICML 2021
PID Accelerated Value Iteration Algorithm
ICML 2021
Probabilistic robust linear quadratic regulators with Gaussian processes
L4DC 2021
Data-Driven Controller Design via Finite-Horizon Dissipativity
L4DC 2021
Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning
ICML 2021
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
L4DC 2021
Reinforcement Learning for Cost-Aware Markov Decision Processes
ICML 2021
Data-driven design of switching reference governors for brake-by-wire applications
L4DC 2021
Variational Data Assimilation with a Learned Inverse Observation Operator
ICML 2021
Optimal Cost Design for Model Predictive Control
L4DC 2021
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