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Path: serval!netnews.nwnet.net!usenet.coe.montana.edu!saimiri.primate.wisc.edu!eng.ufl.edu!usenet.ufl.edu!gatech!news-feed-1.peachnet.edu!emory!europa.eng.gtefsd.com!fs7.ece.cmu.edu!news.sei.cmu.edu!bb3.andrew.cmu.edu!andrew.cmu.edu!mw5h+
From: Matthew Jason White <mwhite+@CMU.EDU>
Newsgroups: comp.ai.neural-nets
Subject: Re: a NN playing spacewar?
Date: Fri, 30 Apr 1993 17:39:04 -0400
Organization: Freshman, Math/Computer Science, Carnegie Mellon, Pittsburgh, PA
Lines: 20
Message-ID: <cfsNlsS00WBL481WBl@andrew.cmu.edu>
References: <1993Apr29.233541.8362@news.columbia.edu>
NNTP-Posting-Host: po3.andrew.cmu.edu
In-Reply-To: <1993Apr29.233541.8362@news.columbia.edu>
> I know little about the practical applications/limitations of neural
>nets and was wondering if it would be possible to have a neural net learn
>to play an arcade game.
This is going to depend mostly on the complexity of the problem, the way
you organize the inputs and the outputs, and of course what type of
computer you are using.
My roomate trained a network to drive a simulated car using a modified
version of backprop. His results are basically summed up in Tesauro,
though of course they are much more limited than Tesauro's. Navlab is
controlled by neural network. In case you are not familiar, Navlab is
an armored car that is completely automated. I believe it's record is
23 miles, but I could very easily be mistaken. I also believe that
Navlab uses 12 Sparc based computers to run and has 1200 neurons. You'd
be better off trying to find a magazine article, or even better, a
technical report by the research group.
-Matt