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2020 – today
- 2024
[j9]Sihan Zeng
, Thinh T. Doan, Justin Romberg:
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. SIAM J. Optim. 34(1): 946-976 (2024)- [c11]Sihan Zeng, Thinh T. Doan:
Fast two-time-scale stochastic gradient method with applications in reinforcement learning. COLT 2024: 5166-5212 - [c10]Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably learning feasible alternating current optimal power flow solutions under constraints. L4DC 2024: 1539-1551 - [i14]Sihan Zeng, Youngdae Kim, Yuxuan Ren, Kibaek Kim:
QCQP-Net: Reliably Learning Feasible Alternating Current Optimal Power Flow Solutions Under Constraints. CoRR abs/2401.06820 (2024) - [i13]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Natural Policy Gradient and Actor Critic Methods for Constrained Multi-Task Reinforcement Learning. CoRR abs/2405.02456 (2024) - [i12]Sihan Zeng, Thinh T. Doan:
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning. CoRR abs/2405.09660 (2024) - [i11]Sihan Zeng, Sujay Bhatt, Alec Koppel, Sumitra Ganesh:
Partially Observable Contextual Bandits with Linear Payoffs. CoRR abs/2409.11521 (2024) - 2023
- [j8]Keyi Yu, Yu Wang, Sihan Zeng, Chen Liang, Xiaoyu Bai, Dachi Chen, Wenping Wang:
InkGAN: Generative Adversarial Networks for Ink-And-Wash Style Transfer of Photographs. Adv. Artif. Intell. Mach. Learn. 3(2): 1220-1233 (2023) - [j7]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Convergence Rates of Decentralized Stochastic Approximation With Applications in Multi-Agent and Multi-Task Learning. IEEE Trans. Autom. Control. 68(5): 2758-2773 (2023) - [c9]Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. ICAIF 2023: 673-680 - [c8]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. NeurIPS 2023 - [i10]Parisa Hassanzadeh, Eleonora Kreacic, Sihan Zeng, Yuchen Xiao, Sumitra Ganesh:
Sequential Fair Resource Allocation under a Markov Decision Process Framework. CoRR abs/2301.03758 (2023) - [i9]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems. CoRR abs/2303.12981 (2023) - [i8]Sihan Zeng, Sujay Bhatt, Eleonora Kreacic, Parisa Hassanzadeh, Alec Koppel, Sumitra Ganesh:
Near-Optimal Fair Resource Allocation for Strategic Agents without Money: A Data-Driven Approach. CoRR abs/2311.10927 (2023) - 2022
- [j6]Sihan Zeng, Zhongliang Pan:
An unsupervised font style transfer model based on generative adversarial networks. Multim. Tools Appl. 81(4): 5305-5324 (2022) - [c7]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CDC 2022: 4028-4033 - [c6]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. NeurIPS 2022 - [i7]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games. CoRR abs/2205.13746 (2022) - 2021
- [j5]Huandong Wang, Sihan Zeng, Yong Li, Depeng Jin:
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. IEEE Trans. Mob. Comput. 20(7): 2457-2472 (2021) - [c5]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CDC 2021: 2641-2646 - [c4]Sihan Zeng, Malik Aqeel Anwar, Thinh T. Doan, Arijit Raychowdhury, Justin Romberg:
A decentralized policy gradient approach to multi-task reinforcement learning. UAI 2021: 1002-1012 - [i6]Sihan Zeng, Thinh T. Doan, Justin Romberg:
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning. CoRR abs/2109.14756 (2021) - [i5]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Complexity of Online Primal-Dual Natural Actor-Critic Algorithm for Constrained Markov Decision Processes. CoRR abs/2110.11383 (2021) - [i4]Sihan Zeng, Alyssa Kody, Youngdae Kim, Kibaek Kim, Daniel K. Molzahn:
A Reinforcement Learning Approach to Parameter Selection for Distributed Optimization in Power Systems. CoRR abs/2110.11991 (2021) - 2020
- [j4]Xinlei Chen, Carlos Ruiz Dominguez, Sihan Zeng, Liyao Gao, Aveek Purohit, Stefano Carpin, Pei Zhang:
H-DrunkWalk: Collaborative and Adaptive Navigation for Heterogeneous MAV Swarm. ACM Trans. Sens. Networks 16(2): 20:1-20:27 (2020) - [j3]Huandong Wang, Sihan Zeng, Yong Li, Pengyu Zhang, Depeng Jin:
Human Mobility Prediction Using Sparse Trajectory Data. IEEE Trans. Veh. Technol. 69(9): 10155-10166 (2020) - [i3]Sihan Zeng, Aqeel Anwar, Thinh T. Doan, Justin Romberg, Arijit Raychowdhury:
A Decentralized Policy Gradient Approach to Multi-task Reinforcement Learning. CoRR abs/2006.04338 (2020) - [i2]Sihan Zeng, Thinh T. Doan, Justin Romberg:
Finite-Time Analysis of Decentralized Stochastic Approximation with Applications in Multi-Agent and Multi-Task Learning. CoRR abs/2010.15088 (2020)
2010 – 2019
- 2019
- [j2]Huandong Wang, Yong Li, Sihan Zeng, Gang Wang, Pengyu Zhang, Pan Hui, Depeng Jin:
Modeling Spatio-Temporal App Usage for a Large User Population. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(1): 27:1-27:23 (2019) - [j1]Xuesi Zhou, Haoqi Xiong, Sihan Zeng, Xiangling Fu, Ji Wu:
An approach for medical event detection in Chinese clinical notes of electronic health records. BMC Medical Informatics Decis. Mak. 19-S(2): 31-37 (2019) - [c3]Sihan Zeng, Jose Manuel Monsalve Diaz, Siddhisanket Raskar:
Toward A High-Performance Emulation Platformfor Brain-Inspired Intelligent SystemsExploring Dataflow-Based Execution Model and Beyond. COMPSAC (2) 2019: 628-633 - [c2]Shaojie Xu, Sihan Zeng, Justin Romberg:
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. ICASSP 2019: 2967-2971 - [i1]Shaojie Xu, Sihan Zeng, Justin Romberg:
Fast Compressive Sensing Recovery Using Generative Models with Structured Latent Variables. CoRR abs/1902.06913 (2019) - 2017
- [c1]Sihan Zeng, Huandong Wang, Yong Li, Depeng Jin:
Predictability and Prediction of Human Mobility Based on Application-Collected Location Data. MASS 2017: 28-36
Coauthor Index
aka: Justin Romberg
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last updated on 2024-10-15 21:37 CEST by the dblp team
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