SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems

14 January 2022

Papers citing "SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems"

6 / 6 papers shown

Title
Anant-Net: Breaking the Curse of Dimensionality with Scalable and Interpretable Neural Surrogate for High-Dimensional PDEs Sidharth S. Menon Ameya D. Jagtap PINN 163 0 0 06 May 2025
Symplectic Neural Networks Based on Dynamical Systems Benjamin K Tapley 39 1 0 19 Aug 2024
Solving Elliptic Optimal Control Problems via Neural Networks and Optimality System Yongcheng Dai Bangti Jin R. Sau Zhi Zhou 40 4 0 23 Aug 2023
Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control Yue Zhao Jiequn Han OffRL 27 6 0 29 Nov 2022
Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs Anastasia Borovykh D. Kalise Alexis Laignelet P. Parpas 23 6 0 19 Jul 2022
Neural Network Optimal Feedback Control with Guaranteed Local Stability Tenavi Nakamura-Zimmerer Q. Gong W. Kang 20 9 0 01 May 2022