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Bridging Physics-Informed Neural Networks with Reinforcement Learning:
  Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)

Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)

1 February 2023
Amartya Mukherjee
Jun Liu
ArXiv (abs)PDFHTML

Papers citing "Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)"

4 / 4 papers shown
Title
Parametric Value Approximation for General-sum Differential Games with State Constraints
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Z. Xu
Yi Ren
74
0
0
10 Mar 2025
A Semi-Lagrangian Approach for Time and Energy Path Planning Optimization in Static Flow Fields
A Semi-Lagrangian Approach for Time and Energy Path Planning Optimization in Static Flow Fields
V. C. D. S. Campos
Armando A. Neto
D. Macharet
85
0
0
25 Mar 2024
Decomposing Control Lyapunov Functions for Efficient Reinforcement
  Learning
Decomposing Control Lyapunov Functions for Efficient Reinforcement Learning
Antonio Lopez
David Fridovich-Keil
87
1
0
18 Mar 2024
A Survey on Physics Informed Reinforcement Learning: Review and Open
  Problems
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
C. Banerjee
Kien Nguyen
Clinton Fookes
M. Raissi
PINNAI4CE
107
10
0
05 Sep 2023
1