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Insoon Yang
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2020 – today
- 2024
- [j26]Mingyu Park, Jaeuk Shin, Insoon Yang:
Anderson acceleration for partially observable Markov decision processes: A maximum entropy approach. Autom. 163: 111557 (2024) - [j25]Youngchae Cho
, Insoon Yang
Wasserstein Distributionally Robust Regret Minimization. IEEE Control. Syst. Lett. 8: 820-825 (2024) - [j24]Jaeuk Shin
Multiparametric Analysis of Multi-Task Markov Decision Processes: Structure, Invariance, and Reducibility. IEEE Control. Syst. Lett. 8: 928-933 (2024) - [j23]Astghik Hakobyan
Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. IEEE Trans. Autom. Control. 69(9): 6121-6136 (2024) - [j22]Giho Kim, Jaeuk Shin, Gihun Kim, Joonrak Kim, Insoon Yang:
Control of Fab Lifters via Deep Reinforcement Learning: A Semi-MDP Approach. IEEE Trans Autom. Sci. Eng. 21(4): 5136-5148 (2024) - [j21]Juan Moreno Nadales
Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. IEEE Trans. Control. Syst. Technol. 32(4): 1471-1478 (2024) - [c34]Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang:
On task-relevant loss functions in meta-reinforcement learning. L4DC 2024: 1174-1186 - [i34]Yeoneung Kim, Gihun Kim, Insoon Yang:
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret. CoRR abs/2405.19380 (2024) - [i33]Minhyuk Jang, Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems. CoRR abs/2406.01723 (2024) - [i32]Chanwoong Park, Youngchae Cho, Insoon Yang:
Generalized Continuous-Time Models for Nesterov's Accelerated Gradient Methods. CoRR abs/2409.00913 (2024) - 2023
- [j20]Astghik Hakobyan
Distributionally Robust Differential Dynamic Programming With Wasserstein Distance. IEEE Control. Syst. Lett. 7: 2329-2334 (2023) - [j19]Kihyun Kim
Distributional Robustness in Minimax Linear Quadratic Control with Wasserstein Distance. SIAM J. Control. Optim. 61(2): 458-483 (2023) - [j18]Jeongho Kim
Maximum Entropy Optimal Control of Continuous-Time Dynamical Systems. IEEE Trans. Autom. Control. 68(4): 2018-2033 (2023) - [j17]Astghik Hakobyan
Distributionally Robust Risk Map for Learning-Based Motion Planning and Control: A Semidefinite Programming Approach. IEEE Trans. Robotics 39(1): 718-737 (2023) - [c33]Yeoneung Kim, Gihun Kim, Insoon Yang:
On Concentration Bounds for Bayesian Identification of Linear Non-Gaussian Systems. CDC 2023: 3506-3511 - [c32]Youngchae Cho, Insoon Yang:
Data-Driven Stochastic Optimization Using Upper Confidence Bounds: Performance Guarantees and Distributional Robustness. CDC 2023: 8280-8285 - [c31]Jungbin Kim, Insoon Yang:
Unifying Nesterov's Accelerated Gradient Methods for Convex and Strongly Convex Objective Functions. ICML 2023: 16897-16954 - [c30]Astghik Hakobyan, Insoon Yang:
Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments. ICRA 2023: 3225-3232 - [c29]Jungbin Kim, Insoon Yang:
Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels. NeurIPS 2023 - [i31]Youngchae Cho, Insoon Yang:
Using affine policies to reformulate two-stage Wasserstein distributionally robust linear programs to be independent of sample size. CoRR abs/2301.00191 (2023) - [i30]Astghik Hakobyan, Insoon Yang:
Distributionally Robust Differential Dynamic Programming with Wasserstein Distance. CoRR abs/2305.09760 (2023) - [i29]Juan Moreno Nadales, Astghik Hakobyan, David Muñoz de la Peña, Daniel Limón, Insoon Yang:
Risk-Aware Wasserstein Distributionally Robust Control of Vessels in Natural Waterways. CoRR abs/2310.14038 (2023) - [i28]Jaeuk Shin, Giho Kim, Howon Lee, Joonho Han, Insoon Yang:
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR. CoRR abs/2312.05465 (2023) - 2022
- [j16]Jaeuk Shin
Infusing Model Predictive Control Into Meta-Reinforcement Learning for Mobile Robots in Dynamic Environments. IEEE Robotics Autom. Lett. 7(4): 10065-10072 (2022) - [j15]Margaret P. Chapman
Risk-Sensitive Safety Analysis Using Conditional Value-at-Risk. IEEE Trans. Autom. Control. 67(12): 6521-6536 (2022) - [j14]Astghik Hakobyan
Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. IEEE Trans. Robotics 38(2): 939-957 (2022) - [c28]Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee. CDC 2022: 4800-4807 - [c27]Youngchae Cho, Insoon Yang:
On Affine Policies for Wasserstein Distributionally Robust Unit Commitment. CDC 2022: 7167-7173 - [c26]Jungbin Kim, Insoon Yang:
Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis. ICML 2022: 11255-11282 - [c25]Yeoneung Kim, Insoon Yang, Kwang-Sung Jun:
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs. NeurIPS 2022 - [i27]Youngchae Cho, Insoon Yang:
On Affine Policies for Wasserstein Distributionally Robust Unit Commitment. CoRR abs/2203.15333 (2022) - [i26]Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Control of Partially Observable Linear Systems: Tractable Approximation and Performance Guarantee. CoRR abs/2203.17045 (2022) - [i25]Yeoneung Kim, Insoon Yang:
On representation formulas for optimal control: A Lagrangian perspective. CoRR abs/2204.02050 (2022) - [i24]Mingyu Park, Jaeuk Shin, Insoon Yang:
Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach. CoRR abs/2211.14998 (2022) - [i23]Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems. CoRR abs/2212.04644 (2022) - 2021
- [j13]Jeongho Kim, Jaeuk Shin, Insoon Yang:
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls. J. Mach. Learn. Res. 22: 206:1-206:34 (2021) - [j12]Insoon Yang
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach. IEEE Trans. Autom. Control. 66(8): 3863-3870 (2021) - [c24]Melike Ermis, Mingyu Park, Insoon Yang:
On Anderson Acceleration for Partially Observable Markov Decision Processes. CDC 2021: 4478-4485 - [c23]Astghik Hakobyan, Insoon Yang:
Toward Improving the Distributional Robustness of Risk-Aware Controllers in Learning-Enabled Environments. CDC 2021: 6024-6031 - [i22]Margaret P. Chapman, Riccardo Bonalli, Kevin M. Smith, Insoon Yang, Marco Pavone, Claire J. Tomlin:
Risk-sensitive safety analysis using Conditional Value-at-Risk. CoRR abs/2101.12086 (2021) - [i21]Kihyun Kim
Distributional robustness in minimax linear quadratic control with Wasserstein distance. CoRR abs/2102.12715 (2021) - [i20]Melike Ermis, Mingyu Park, Insoon Yang:
On Anderson acceleration for partially observable Markov decision processes. CoRR abs/2103.15275 (2021) - [i19]Astghik Hakobyan, Insoon Yang:
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach. CoRR abs/2105.00657 (2021) - [i18]Jaeuk Shin, Astghik Hakobyan, Mingyu Park, Yeoneung Kim, Gihun Kim, Insoon Yang:
Infusing model predictive control into meta-reinforcement learning for mobile robots in dynamic environments. CoRR abs/2109.07120 (2021) - [i17]Dohyun Kwon, Yeoneung Kim, Guido Montúfar, Insoon Yang:
Training Wasserstein GANs without gradient penalties. CoRR abs/2110.14150 (2021) - [i16]Yeoneung Kim, Insoon Yang, Kwang-Sung Jun:
Improved Regret Analysis for Variance-Adaptive Linear Bandits and Horizon-Free Linear Mixture MDPs. CoRR abs/2111.03289 (2021) - 2020
- [j11]Beomjun Kim
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization. IEEE Access 8: 21437-21452 (2020) - [j10]Insoon Yang
A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces. J. Optim. Theory Appl. 187(1): 133-157 (2020) - [c22]Jeongho Kim
A Stochastic Consensus Method for Nonconvex Optimization on the Stiefel Manifold. CDC 2020: 1050-1057 - [c21]Kihyun Kim
Minimax Control of Ambiguous Linear Stochastic Systems Using the Wasserstein Metric. CDC 2020: 1777-1784 - [c20]Astghik Hakobyan
Wasserstein Distributionally Robust Motion Planning and Control with Safety Constraints Using Conditional Value-at-Risk. ICRA 2020: 490-496 - [c19]Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang, Donghyeon Lee, Junyoung Choi, Insoon Yang, Kyomin Jung, Sang-Kyun Cha:
STAR: Spatio-Temporal Prediction of Air Quality Using a Multimodal Approach. IntelliSys (2) 2020: 389-406 - [c18]Astghik Hakobyan
Learning-Based Distributionally Robust Motion Control with Gaussian Processes. IROS 2020: 7667-7674 - [c17]Jeongho Kim, Insoon Yang:
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time. L4DC 2020: 739-748 - [c16]Melike Ermis, Insoon Yang:
A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks. SSCI 2020: 250-257 - [i15]Astghik Hakobyan, Insoon Yang:
Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk. CoRR abs/2001.04727 (2020) - [i14]Subin Huh, Insoon Yang:
Safe reinforcement learning for probabilistic reachability and safety specifications: A Lyapunov-based approach. CoRR abs/2002.10126 (2020) - [i13]Astghik Hakobyan, Insoon Yang:
Learning-based distributionally robust motion control with Gaussian processes. CoRR abs/2003.02532 (2020) - [i12]Kihyun Kim, Insoon Yang:
Minimax control of ambiguous linear stochastic systems using the Wasserstein metric. CoRR abs/2003.13258 (2020) - [i11]Beomjun Kim, Jeongho Kim, Subin Huh, Seungil You, Insoon Yang:
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization. CoRR abs/2005.02738 (2020) - [i10]Jeongho Kim, Insoon Yang:
Hamilton-Jacobi-Bellman Equations for Maximum Entropy Optimal Control. CoRR abs/2009.13097 (2020) - [i9]Jeongho Kim, Jaeuk Shin, Insoon Yang:
Hamilton-Jacobi Deep Q-Learning for Deterministic Continuous-Time Systems with Lipschitz Continuous Controls. CoRR abs/2010.14087 (2020)
2010 – 2019
- 2019
- [j9]Xinlin Wang
Sample Efficient Home Power Anomaly Detection in Real Time Using Semi-Supervised Learning. IEEE Access 7: 139712-139725 (2019) - [j8]Astghik Hakobyan
Risk-Aware Motion Planning and Control Using CVaR-Constrained Optimization. IEEE Robotics Autom. Lett. 4(4): 3924-3931 (2019) - [j7]Junjie Qin
Submodularity of Storage Placement Optimization in Power Networks. IEEE Trans. Autom. Control. 64(8): 3268-3283 (2019) - [c15]Jeong Woo Kim, Hyungbo Shim, Insoon Yang:
On Improving the Robustness of Reinforcement Learning-based Controllers using Disturbance Observer. CDC 2019: 847-852 - [c14]Sunho Jang, Insoon Yang:
Stochastic Subgradient Methods for Dynamic Programming in Continuous State and Action Spaces. CDC 2019: 7287-7293 - [i8]Jeongho Kim, Insoon Yang:
Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time. CoRR abs/1912.10697 (2019) - 2018
- [j6]Insoon Yang:
A dynamic game approach to distributionally robust safety specifications for stochastic systems. Autom. 94: 94-101 (2018) - [c13]Samantha Samuelson, Insoon Yang:
Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk. ACC 2018: 6285-6290 - [i7]Samantha Samuelson, Insoon Yang:
Safety-Aware Optimal Control of Stochastic Systems Using Conditional Value-at-Risk. CoRR abs/1802.07903 (2018) - [i6]Insoon Yang:
A Convex Optimization Approach to Dynamic Programming in Continuous State and Action Spaces. CoRR abs/1810.03847 (2018) - [i5]Insoon Yang:
Wasserstein Distributionally Robust Stochastic Control: A Data-Driven Approach. CoRR abs/1812.09808 (2018) - 2017
- [j5]Insoon Yang
A Convex Optimization Approach to Distributionally Robust Markov Decision Processes With Wasserstein Distance. IEEE Control. Syst. Lett. 1(1): 164-169 (2017) - [j4]Christopher W. Miller, Insoon Yang:
Optimal Control of Conditional Value-at-Risk in Continuous Time. SIAM J. Control. Optim. 55(2): 856-884 (2017) - [j3]Insoon Yang
Variance-Constrained Risk Sharing in Stochastic Systems. IEEE Trans. Autom. Control. 62(4): 1865-1879 (2017) - [c12]Samantha Samuelson, Insoon Yang:
Data-driven distributionally robust control of energy storage to manage wind power fluctuations. CCTA 2017: 199-204 - [c11]Insoon Yang:
Distributionally robust stochastic control with conic confidence sets. CDC 2017: 4291-4296 - [i4]Insoon Yang:
A dynamic game approach to distributionally robust safety specifications for stochastic systems. CoRR abs/1701.06260 (2017) - 2016
- [j2]Insoon Yang, Samuel A. Burden, Ram Rajagopal, S. Shankar Sastry, Claire J. Tomlin:
Approximation Algorithms for Optimization of Combinatorial Dynamical Systems. IEEE Trans. Autom. Control. 61(9): 2644-2649 (2016) - [c10]Insoon Yang, Asuman E. Ozdaglar:
Reducing electricity price volatility via stochastic storage control. ACC 2016: 4138-4144 - [c9]Junjie Qin, Insoon Yang, Ram Rajagopal:
Submodularity of energy storage placement in power networks. CDC 2016: 686-693 - [i3]Insoon Yang, Sila Kiliccote, Ram Rajagopal, Claire J. Tomlin:
Control of Supermarket Refrigeration Systems via Online Combinatorial Optimization. CoRR abs/1604.06958 (2016) - 2015
- [c8]Insoon Yang, Duncan S. Callaway, Claire J. Tomlin:
Indirect load control for electricity market risk management via risk-limiting dynamic contracts. ACC 2015: 3025-3031 - [i2]Christopher W. Miller, Insoon Yang:
Optimal Dynamic Contracts for a Large-Scale Principal-Agent Hierarchy: A Concavity-Preserving Approach. CoRR abs/1506.05497 (2015) - [i1]Christopher W. Miller, Insoon Yang:
Optimal Control of Conditional Value-at-Risk in Continuous Time. CoRR abs/1512.05015 (2015) - 2014
- [j1]Insoon Yang
Reaction-diffusion systems in protein networks: Global existence and identification. Syst. Control. Lett. 74: 50-57 (2014) - [c7]Insoon Yang, Duncan S. Callaway, Claire J. Tomlin:
Direct load control for electricity market risk management via risk-limiting dynamic contracts. Allerton 2014: 1058-1063 - [c6]Insoon Yang, Duncan S. Callaway, Claire J. Tomlin:
Dynamic contracts with partial observations: Application to indirect load control. ACC 2014: 1224-1230 - [c5]Insoon Yang, Melanie Nicole Zeilinger, Claire J. Tomlin:
Utility learning model predictive control for personal electric loads. CDC 2014: 4868-4874 - 2013
- [c4]Insoon Yang, Claire J. Tomlin:
Identification of surface tension in mean curvature flow. ACC 2013: 3284-3289 - [c3]Insoon Yang, Claire J. Tomlin:
Regularization-based identification for level set equations. CDC 2013: 1058-1064 - [c2]Insoon Yang, Samuel Burden, S. Shankar Sastry, Claire J. Tomlin:
Infinitesimal interconnection variation in nonlinear networked systems. CDC 2013: 1417-1422 - [c1]Insoon Yang
One-shot computation of reachable sets for differential games. HSCC 2013: 183-192
Coauthor Index
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last updated on 2024-10-30 21:31 CET by the dblp team
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