ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.05317
  4. Cited By
Adaptive Deep Learning for High-Dimensional Hamilton-Jacobi-Bellman
  Equations

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

11 July 2019
Tenavi Nakamura-Zimmerer
Q. Gong
W. Kang
ArXivPDFHTML

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
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis
Zeyuan Feng
Le Qiu
Somil Bansal
37
0
0
04 May 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions
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
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
Learning Free Terminal Time Optimal Closed-loop Control of Manipulators
Wei Hu
Yue Zhao
E. Weinan
Jiequn Han
Jihao Long
24
0
0
29 Nov 2023
Adversarial Path Planning for Optimal Camera Positioning
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
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
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
Neural Network Optimal Feedback Control with Guaranteed Local Stability
Tenavi Nakamura-Zimmerer
Q. Gong
W. Kang
30
9
0
01 May 2022
SympOCnet: Solving optimal control problems with applications to
  high-dimensional multi-agent path planning problems
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
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
Neural network optimal feedback control with enhanced closed loop stability
Tenavi Nakamura-Zimmerer
Q. Gong
W. Kang
25
8
0
15 Sep 2021
Neural network architectures using min-plus algebra for solving certain
  high dimensional optimal control problems and Hamilton-Jacobi PDEs
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
14
22
0
07 May 2021
Reproducing Activation Function for Deep Learning
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
Convergence of Deep Fictitious Play for Stochastic Differential Games
Jiequn Han
Ruimeng Hu
Jihao Long
29
19
0
12 Aug 2020
A deep surrogate approach to efficient Bayesian inversion in PDE and
  integral equation models
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models
Teo Deveney
Amelia Gosse
Peter Du
33
9
0
03 Oct 2019
1