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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
ArXivPDFHTML

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

5 / 5 papers shown
Title
Parametric Value Approximation for General-sum Differential Games with State Constraints
Lei Zhang
Mukesh Ghimire
Wenlong Zhang
Z. Xu
Yi Ren
36
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
16
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
25
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
PINN
AI4CE
16
5
0
05 Sep 2023
Towards a Theoretical Foundation of Policy Optimization for Learning
  Control Policies
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies
Bin Hu
K. Zhang
Na Li
M. Mesbahi
Maryam Fazel
Tamer Bacsar
79
27
0
10 Oct 2022
1