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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
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis
NIPS 2019
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
AISTATS 2019
Model-Free Linear Quadratic Control via Reduction to Expert Prediction
AISTATS 2019
An Optimal Control Approach to Sequential Machine Teaching
AISTATS 2019
Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices
IJCAI 2019
Logarithmic Regret for Online Control
NIPS 2019
Online Linear Quadratic Control
ICML 2018
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
ICML 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
ICML 2018
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
NIPS 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View
JMLR 2018
Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems
ICML 2018
Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
AISTATS 2018
Bayesian Active Edge Evaluation on Expensive Graphs
IJCAI 2018
A Variable Stiffness Gripper with Antagonistic Magnetic Springs for Enhancing Manipulation
RSS 2018
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management
IJCAI 2018
Analytical Derivatives of Rigid Body Dynamics Algorithms
RSS 2018
Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem
RSS 2017
Feedback Synthesis for Controllable Underactuated Systems using Sequential Second Order Actions
RSS 2017
Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion
RSS 2017
Combined Optimization and Reinforcement Learning for Manipulation Skills
RSS 2016
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
AISTATS 2015
Scaling Up Robust MDPs using Function Approximation
ICML 2014
Probably Approximately Correct MDP Learning and Control With Temporal Logic Constraints
RSS 2014
Optimizing Energy Production Using Policy Search and Predictive State Representations
NIPS 2014
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