Insoon Yang

According to our database, Insoon Yang authored at least 71 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Control of Fab Lifters via Deep Reinforcement Learning: A Semi-MDP Approach.

Giho Kim, Jaeuk Shin, Gihun Kim, Joonrak Kim, Insoon Yang

IEEE Trans Autom. Sci. Eng., October, 2024

Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems.

Astghik Hakobyan, Insoon Yang

IEEE Trans. Autom. Control., September, 2024

Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways.

Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang

IEEE Trans. Control. Syst. Technol., July, 2024

Multiparametric Analysis of Multi-Task Markov Decision Processes: Structure, Invariance, and Reducibility.

Jaeuk Shin, Insoon Yang

IEEE Control. Syst. Lett., 2024

Wasserstein Distributionally Robust Regret Minimization.

Youngchae Cho, Insoon Yang

IEEE Control. Syst. Lett., 2024

Generalized Continuous-Time Models for Nesterov's Accelerated Gradient Methods.

Chanwoong Park, Youngchae Cho, Insoon Yang

CoRR, 2024

Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems.

Minhyuk Jang, Astghik Hakobyan, Insoon Yang

CoRR, 2024

Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret.

Yeoneung Kim, Gihun Kim, Insoon Yang

CoRR, 2024

Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach.

Mingyu Park, Jaeuk Shin, Insoon Yang

Autom., 2024

On task-relevant loss functions in meta-reinforcement learning.

Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Distributional Robustness in Minimax Linear Quadratic Control with Wasserstein Distance.

Kihyun Kim, Insoon Yang

SIAM J. Control. Optim., April, 2023

Distributionally Robust Risk Map for Learning-Based Motion Planning and Control: A Semidefinite Programming Approach.

Astghik Hakobyan, Insoon Yang

IEEE Trans. Robotics, February, 2023

Maximum Entropy Optimal Control of Continuous-Time Dynamical Systems.

Jeongho Kim, Insoon Yang

IEEE Trans. Autom. Control., 2023

Distributionally Robust Differential Dynamic Programming With Wasserstein Distance.

Astghik Hakobyan, Insoon Yang

IEEE Control. Syst. Lett., 2023

On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR.

Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang

CoRR, 2023

Using affine policies to reformulate two-stage Wasserstein distributionally robust linear programs to be independent of sample size.

Youngchae Cho, Insoon Yang

CoRR, 2023

Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels.

Jungbin Kim, Insoon Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments.

Astghik Hakobyan, Insoon Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions.

Jungbin Kim, Insoon Yang

Proceedings of the International Conference on Machine Learning, 2023

On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems.

Yeoneung Kim, Gihun Kim, Insoon Yang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Data-Driven Stochastic Optimization Using Upper Confidence Bounds: Performance Guarantees and Distributional Robustness.

Youngchae Cho, Insoon Yang

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk.

Astghik Hakobyan, Insoon Yang

IEEE Trans. Robotics, 2022

Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk.

Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin

IEEE Trans. Autom. Control., 2022

Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments.

Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang

IEEE Robotics Autom. Lett., 2022

On representation formulas for optimal control: A Lagrangian perspective.

Yeoneung Kim, Insoon Yang

CoRR, 2022

Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs.

Yeoneung Kim, Insoon Yang, Kwang-Sung Jun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis.

Jungbin Kim, Insoon Yang

Proceedings of the International Conference on Machine Learning, 2022

Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee.

Astghik Hakobyan, Insoon Yang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

On Affine Policies for Wasserstein Distributionally Robust Unit Commitment.

Youngchae Cho, Insoon Yang

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach.

Insoon Yang

IEEE Trans. Autom. Control., 2021

Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls.

Jeongho Kim, Jaeuk Shin, Insoon Yang

J. Mach. Learn. Res., 2021

Training Wasserstein GANs without gradient penalties.

Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang

CoRR, 2021

Toward Improving the Distributional Robustness of Risk-Aware Controllers in Learning-Enabled Environments.

Astghik Hakobyan, Insoon Yang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

On Anderson Acceleration for Partially Observable Markov Decision Processes.

Melike Ermis, Mingyu Park, Insoon Yang

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces.

Insoon Yang

J. Optim. Theory Appl., 2020

Hamilton-Jacobi-Bellman Equations for Maximum Entropy Optimal Control.

Jeongho Kim, Insoon Yang

CoRR, 2020

Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach.

Subin Huh, Insoon Yang

CoRR, 2020

Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization.

Beomjun Kim, Jeongho Kim, Subin Huh, Seungil You, Insoon Yang

IEEE Access, 2020

A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks.

Melike Ermis, Insoon Yang

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time.

Jeongho Kim, Insoon Yang

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Learning-Based Distributionally Robust Motion Control with Gaussian Processes.

Astghik Hakobyan, Insoon Yang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach.

Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, Junyoung Choi, Insoon Yang, Kyomin Jung, Sang-Kyun Cha

Proceedings of the Intelligent Systems and Applications, 2020

Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk.

Astghik Hakobyan, Insoon Yang

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Minimax Control of Ambiguous Linear Stochastic Systems Using the Wasserstein Metric.

Kihyun Kim, Insoon Yang

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

A Stochastic Consensus Method for Nonconvex Optimization on the Stiefel Manifold.

Jeongho Kim, Myeongju Kang, Dohyun Kim, Seung-Yeal Ha, Insoon Yang

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Submodularity of Storage Placement Optimization in Power Networks.

Junjie Qin, Insoon Yang, Ram Rajagopal

IEEE Trans. Autom. Control., 2019

Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization.

Astghik Hakobyan, Gyeong Chan Kim, Insoon Yang

IEEE Robotics Autom. Lett., 2019

Sample Efficient Home Power Anomaly Detection in Real Time Using Semi-Supervised Learning.

Xinlin Wang, Insoon Yang, Sung-Hoon Ahn

IEEE Access, 2019

On Improving the Robustness of Reinforcement Learning-based Controllers using Disturbance Observer.

Jeong Woo Kim, Hyungbo Shim, Insoon Yang

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Stochastic Subgradient Methods for Dynamic Programming in Continuous State and Action Spaces.

Sunho Jang, Insoon Yang

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

A dynamic game approach to distributionally robust safety specifications for stochastic systems.

Insoon Yang

Autom., 2018

Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk.

Samantha Samuelson, Insoon Yang

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Variance-Constrained Risk Sharing in Stochastic Systems.

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin

IEEE Trans. Autom. Control., 2017

Optimal Control of Conditional Value-at-Risk in Continuous Time.

Christopher W. Miller, Insoon Yang

SIAM J. Control. Optim., 2017

A Convex Optimization Approach to Distributionally Robust Markov Decision Processes With Wasserstein Distance.

Insoon Yang

IEEE Control. Syst. Lett., 2017

Distributionally robust stochastic control with conic confidence sets.

Insoon Yang

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Data-driven distributionally robust control of energy storage to manage wind power fluctuations.

Samantha Samuelson, Insoon Yang

Proceedings of the IEEE Conference on Control Technology and Applications, 2017

2016

Approximation Algorithms for Optimization of Combinatorial Dynamical Systems.

Insoon Yang, Samuel A. Burden, Ram Rajagopal, S. Shankar Sastry, Claire J. Tomlin

IEEE Trans. Autom. Control., 2016

Control of Supermarket Refrigeration Systems via Online Combinatorial Optimization.

Insoon Yang, Sila Kiliccote, Ram Rajagopal, Claire J. Tomlin

CoRR, 2016

Submodularity of energy storage placement in power networks.

Junjie Qin, Insoon Yang, Ram Rajagopal

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Reducing electricity price volatility via stochastic storage control.

Insoon Yang, Asuman E. Ozdaglar

Proceedings of the 2016 American Control Conference, 2016

2015

Optimal Dynamic Contracts for a Large-Scale Principal-Agent Hierarchy: A Concavity-Preserving Approach.

Christopher W. Miller, Insoon Yang

CoRR, 2015

Indirect load control for electricity market risk management via risk-limiting dynamic contracts.

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin

Proceedings of the American Control Conference, 2015

2014

Reaction-diffusion systems in protein networks: Global existence and identification.

Insoon Yang, Claire J. Tomlin

Syst. Control. Lett., 2014

Utility learning model predictive control for personal electric loads.

Insoon Yang, Melanie Nicole Zeilinger, Claire J. Tomlin

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Dynamic contracts with partial observations: Application to indirect load control.

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin

Proceedings of the American Control Conference, 2014

Direct load control for electricity market risk management via risk-limiting dynamic contracts.

Insoon Yang, Duncan S. Callaway, Claire J. Tomlin

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

One-shot computation of reachable sets for differential games.

Insoon Yang, Sabine Becker-Weimann, Mina J. Bissell, Claire J. Tomlin

Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013

Regularization-based identification for level set equations.

Insoon Yang, Claire J. Tomlin

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Infinitesimal interconnection variation in nonlinear networked systems.

Insoon Yang, Samuel Burden, S. Shankar Sastry, Claire J. Tomlin

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Identification of surface tension in mean curvature flow.

Insoon Yang, Claire J. Tomlin

Proceedings of the American Control Conference, 2013