A sparse code increases the speed and efficiency of neuro-dynamic programming for optimal control tasks with correlated inputs-Reference-Cited by-同舟云学术

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A sparse code increases the speed and efficiency of neuro-dynamic programming for optimal control tasks with correlated inputs

Published:2021-02 Issue: Volume:426 Page:1-13
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Loxley Peter N.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference33 articles.

1. Possible principles underlying the transformation of sensory messages;Barlow;Sens. Commun.,1961

2. D.P. Bertsekas, Dynamic Programming and Optimal Control, vol. 1, fourth ed., 2017, Athena Scientific.

3. Neuro-dynamic Programming;Bertsekas,1996

4. Convex Optimization;Boyd,2004

5. Kernel-based object tracking;Comaniciu;IEEE Trans. Pattern. Anal. Mach. Intell.,2003

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements;Entropy;2023-01-30

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