Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations

11 July 2019

Papers citing "Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman Equations"

16 / 16 papers shown

Title
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis Zeyuan Feng Le Qiu Somil Bansal 35 0 0 04 May 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions Lei Zhang Siddharth Das Tanner Merry Wenlong Zhang Yi Ren 54 0 0 10 Mar 2025
Is Bellman Equation Enough for Learning Control? Haoxiang You Lekan Molu Ian Abraham 68 0 0 04 Mar 2025
Learning Performance-Oriented Control Barrier Functions Under Complex Safety Constraints and Limited Actuation Shaoru Chen Mahyar Fazlyab 45 7 0 11 Jan 2024
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators Wei Hu Yue Zhao E. Weinan Jiequn Han Jihao Long 22 0 0 29 Nov 2023
Adversarial Path Planning for Optimal Camera Positioning Gaia Carenini Alexandre Duplessis 24 0 0 14 Feb 2023
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 32 18 0 27 Oct 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games Lei Zhang Mukesh Ghimire Wenlong Zhang Zhenni Xu Yi Ren 30 7 0 05 Jul 2022
Neural Network Optimal Feedback Control with Guaranteed Local Stability Tenavi Nakamura-Zimmerer Q. Gong W. Kang 22 9 0 01 May 2022
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems Tingwei Meng Zhen Zhang Jérome Darbon George Karniadakis 32 15 0 14 Jan 2022
Data-Driven Computational Methods for the Domain of Attraction and Zubov's Equation W. Kang Kai Sun Liang Xu 20 13 0 29 Dec 2021
Neural network optimal feedback control with enhanced closed loop stability Tenavi Nakamura-Zimmerer Q. Gong W. Kang 18 8 0 15 Sep 2021
Neural network architectures using min-plus algebra for solving certain high dimensional optimal control problems and Hamilton-Jacobi PDEs Jérome Darbon P. Dower Tingwei Meng 8 22 0 07 May 2021
Reproducing Activation Function for Deep Learning Senwei Liang Liyao Lyu Chunmei Wang Haizhao Yang 36 21 0 13 Jan 2021
Convergence of Deep Fictitious Play for Stochastic Differential Games Jiequn Han Ruimeng Hu Jihao Long 19 19 0 12 Aug 2020
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models Teo Deveney Amelia Gosse Peter Du 25 9 0 03 Oct 2019