Stability Analysis of Batch Offline Action-Dependent Heuristic Dynamic Programming Using Deep Neural Networks
In this paper, the theoretical stability of batch offline action-dependent heuristic dynamic programming (BOADHDP) is analyzed for deep neural network (NN) approximators for both the action value function and controller which are iteratively improved using collected experiences from the environment....
Saved in:
Main Author: | Timotei Lala |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/13/2/206 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing heuristic and meta-heuristic algorithms for the problem of joint order batching and collector routing in single and multiple-cross-aisle warehouses
by: Zahra Shamlou, et al.
Published: (2024-08-01) -
Analysis Approximate with Using Sumudu Adomian Decomposition Method for Solving SEIVR Epidemic Model
by: Zainab Mohammed Jouhda, et al.
Published: (2025-02-01) -
A note on dynamics of an age-of-infection cholera model
by: Jinliang Wang, et al.
Published: (2015-09-01) -
(Quasi)-uniformities on the set of bounded maps
by: Basil K. Papadopoulos
Published: (1994-01-01) -
The structure of egg batches, number of eggs and egg hatching rates of pine processionary moth Thaumetopoea pityocampa (Denis & Schiffermüller, 1775) / Thaumetopoea wilkinsoni Tams, 1924 (Lepidoptera: Notodontidae)
by: Cansu Keleş, et al.
Published: (2018-12-01)