Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu, Yue Wang, Zhi-Ming Ma
ICLR 2024 | December 2023
Yue Wang
Senior Researcher
Publications
Publication Type
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Gradient Information Matters in Policy Optimization by Back-propagating through Model
Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
ICLR 2022 | April 2022
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Target Transfer Q-learning and Its Convergence Analysis
Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Neurocomputing | June 2020
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Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Advances in Neural Information Processing Systems | December 2017
Generalization Error Bounds for Optimization Algorithms via Stability
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu
Thirty-First AAAI Conference on Artificial Intelligence | February 2017
Filtre par zone de recherche
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Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu, Yue Wang, Zhi-Ming Ma
ICLR 2024 | December 2023
Gradient Information Matters in Policy Optimization by Back-propagating through Model
Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
ICLR 2022 | April 2022
Target Transfer Q-learning and Its Convergence Analysis
Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Neurocomputing | June 2020
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Advances in Neural Information Processing Systems | December 2017
Generalization Error Bounds for Optimization Algorithms via Stability
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu
Thirty-First AAAI Conference on Artificial Intelligence | February 2017
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Target Transfer Q-learning and Its Convergence Analysis
Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Neurocomputing | June 2020
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Advances in Neural Information Processing Systems | December 2017
Generalization Error Bounds for Optimization Algorithms via Stability
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu
Thirty-First AAAI Conference on Artificial Intelligence | February 2017
-
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Advances in Neural Information Processing Systems | December 2017
Publication Type
-
Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu, Yue Wang, Zhi-Ming Ma
ICLR 2024 | December 2023
Gradient Information Matters in Policy Optimization by Back-propagating through Model
Chongchong Li, Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
ICLR 2022 | April 2022
Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting
Yue Wang, Wei Chen, Yuting Liu, Zhi-Ming Ma, Tie-Yan Liu
Advances in Neural Information Processing Systems | December 2017
Generalization Error Bounds for Optimization Algorithms via Stability
Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu
Thirty-First AAAI Conference on Artificial Intelligence | February 2017
-
Target Transfer Q-learning and Its Convergence Analysis
Yue Wang, Yuting Liu, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Neurocomputing | June 2020