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Insoon Yang
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Smart machining process using machine learning: A review and perspective on machining industry
DH Kim, TJY Kim, X Wang, M Kim, YJ Quan, JW Oh, SH Min, H Kim, ...
International Journal of Precision Engineering and Manufacturing-Green …, 2018
3132018
Wasserstein distributionally robust stochastic control: A data-driven approach
I Yang
IEEE Transactions on Automatic Control 66 (8), 3863-3870, 2021
1342021
Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization
A Hakobyan, GC Kim, I Yang
IEEE Robotics and Automation Letters 4 (4), 3924-3931, 2019
1012019
Micro ECM with ultrasonic vibrations using a semi-cylindrical tool
I Yang, MS Park, CN Chu
International Journal of Precision Engineering and Manufacturing 10, 5-10, 2009
982009
A Convex Optimization Approach to Distributionally Robust Markov Decision Processes with Wasserstein Distance
I Yang
IEEE Control Systems Letters 1 (1), 164-169, 2017
912017
Appropriate smart factory for SMEs: concept, application and perspective
WK Jung, DR Kim, H Lee, TH Lee, I Yang, BD Youn, D Zontar, ...
International Journal of Precision Engineering and Manufacturing 22, 201-215, 2021
762021
Optimal control of conditional value-at-risk in continuous time
CW Miller, I Yang
SIAM Journal on Control and Optimization 55 (2), 856-884, 2017
752017
Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk
A Hakobyan, I Yang
IEEE Transactions on Robotics, 2021
622021
Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk
S Samuelson, I Yang
American Control Conference (ACC), 2018, 6285-6290, 2018
602018
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk
MP Chapman, R Bonalli, KM Smith, I Yang, M Pavone, CJ Tomlin
IEEE Transactions on Automatic Control 67 (12), 6521 - 6536, 2022
59*2022
Sample efficient home power anomaly detection in real time using semi-supervised learning
X Wang, I Yang, SH Ahn
IEEE Access 7, 139712-139725, 2019
582019
A dynamic game approach to distributionally robust safety specifications for stochastic systems
I Yang
Automatica 94, 94-101, 2018
552018
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls
J Kim, J Shin, I Yang
Journal of Machine Learning Research 22 (206), 1-34, 2021
362021
Improved regret analysis for variance-adaptive linear bandits and horizon-free linear mixture MDPs
Y Kim, I Yang, KS Jun
Advances in Neural Information Processing Systems 35, 1060-1072, 2022
292022
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach
S Huh, I Yang
arXiv preprint arXiv:2002.10126, 2020
272020
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time
J Kim, I Yang
Learning for Dynamics and Control, 739-748, 2020
262020
Wasserstein distributionally robust motion planning and control with safety constraints using conditional value-at-risk
A Hakobyan, I Yang
2020 IEEE International Conference on Robotics and Automation (ICRA), 490-496, 2020
242020
Indirect load control for electricity market risk management via risk-limiting dynamic contracts
I Yang, DS Callaway, CJ Tomlin
2015 American Control Conference (ACC), 3025-3031, 2015
242015
Distributional robustness in minimax linear quadratic control with Wasserstein distance
K Kim, I Yang
SIAM Journal on Control and Optimization 61 (2), 458-483, 2023
212023
Accelerated gradient methods for geodesically convex optimization: Tractable algorithms and convergence analysis
J Kim, I Yang
International Conference on Machine Learning, 11255-11282, 2022
21*2022
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