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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
Deep Learning Tubes for Tube MPC
RSS 2020
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
AAAI 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
AAAI 2020
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint
L4DC 2020
Counterfactual Programming for Optimal Control
L4DC 2020
Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization
L4DC 2020
On the Robustness of Data-Driven Controllers for Linear Systems
L4DC 2020
Optimistic robust linear quadratic dual control
L4DC 2020
Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty
L4DC 2020
Robust Learning-Based Control via Bootstrapped Multiplicative Noise
L4DC 2020
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies
NIPS 2019
Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach
AAAI 2019
Adaptive Optimization Framework for Control of Multi-Agent Systems
AAAI 2019
Deep Value Model Predictive Control
CORL 2019
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems
CORL 2019
Approximate Relative Value Learning for Average-reward Continuous State MDPs
UAI 2019
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering
RSS 2019
Local Koopman Operators for Data-Driven Control of Robotic Systems
RSS 2019
Trajectory Optimization for Cable-Driven Soft Robot Locomotion
RSS 2019
HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints
CORL 2019
Switching Linear Dynamics for Variational Bayes Filtering
ICML 2019
Control Regularization for Reduced Variance Reinforcement Learning
ICML 2019
Robust exploration in linear quadratic reinforcement learning
NIPS 2019
State Aggregation Learning from Markov Transition Data
NIPS 2019
Certainty Equivalence is Efficient for Linear Quadratic Control
NIPS 2019
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