Approximate Dynamic Programming and Neural Networks on Game Hardware

Ryan J. Meuth; Donald C. Wunsch

doi:10.1109/IJCNN.2007.4371069

Approximate Dynamic Programming and Neural Networks on Game Hardware

Ryan J. Meuth
, Donald C. Wunsch

Research output: Contribution to journal › Article › peer-review

Abstract

Modern graphics processing units (GPU) and game consoles are used for much more than simply 3D graphics applications and video games. From machine vision to finite element analysis, GPU's are being used in diverse applications, collectively called General Purpose computation onf graphics processor units (GPGPU). Additionally, game consoles are entering the market of high performance computing as inexpensive nodes in computing clusters. This paper explores the capabilities and limitations of modern GPU's and game consoles, surveying the ADP and neural network technologies that can be applied to these devices.

Original language	American English
Journal	Proceedings of the International Joint Conference on Neural Networks, 2007
DOIs	https://doi.org/10.1109/IJCNN.2007.4371069
State	Published - Aug 1 2007

Keywords

Neural networks (Computer science)

Disciplines

Electrical and Computer Engineering

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Approximate Dynamic Programming and Neural Networks on Game Hardware

Abstract

Keywords

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