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<p>Also found this one using an organic neural net that takes far
fewer iterations. That might have some advantages over hundreds
of millions for physically situated robots. But it takes a more
complicated neural net to accomplish the reinforcement learning:</p>
<p><a class="moz-txt-link-freetext" href="https://boingboing.net/2021/11/03/watch-smart-parrot-sorts-coins-from-trash.html">https://boingboing.net/2021/11/03/watch-smart-parrot-sorts-coins-from-trash.html</a></p>
<p>cheers!</p>
<p>dpa</p>
<p><br>
</p>
<div class="moz-cite-prefix">On 11/4/21 1:18 PM, Rud Merriam via
DPRGlist wrote:<br>
</div>
<blockquote type="cite"
cite="mid:44540f77-9e03-ef1c-4072-cb05d2561efe@gmail.com">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<p style="background-color: #f4eaa5;color: #000000
;margin:5px;padding: 2px;text-align: left !important;
align-content: center; display: block; border: 1px solid
#000000; font-size: large; font-family: sans-serif;"><strong><em
style="font-size: 11px;"> [EXTERNAL SENDER]</em></strong></p>
<p>That is neat. I visited their web site but after 5 minutes
couldn't find anything on the learning environment behind this.
<br>
</p>
<div class="moz-signature"><font face="Comic Sans MS"
color="#000080"> <br>
-73 - <br>
<b>Rud Merriam K5RUD</b> <br>
<a
href="http://secure-web.cisco.com/1j_p0jQFpEdXL9SIRUam25c7HCEbkzx4gbfo8ODfRA9CI4HqtUUBUjEp36743k-CRefL6B9aGk8cvFLXippg-pqXq5RuqFgZWesQRKExxGaLd7BFmKNB5Jq3SWliwvvTZTE16ebuCrWIcYbxp-jhqpAMJeopaD6_vUDgLoDhzi0D362B4SHkUpnAWo1p7D3iyLN-9cs7IS0NfbUz2z5n5cTiTA_fcjmpk0b7oK6CY3VuTxegrSFm9HaEp2yXwdmi6P2jhLtKL7Kei9GDDNL4FTQ5CurpJsQFhsE5rMPRNA70/http%3A%2F%2Fmysticlakesoftware.com%2F"
moz-do-not-send="true"> <i>Mystic Lake Software</i> </a> <br>
<br>
</font> </div>
<div class="moz-cite-prefix">On 11/3/21 9:23 AM, Thalanayar
Muthukumar via DPRGlist wrote:<br>
</div>
<blockquote type="cite"
cite="mid:CAAwP+LaWNot1a05QW753+bXfT+8ictT2sSbkhbBmHz-MZtEyhw@mail.gmail.com">
<div dir="ltr"><a
href="https://secure-web.cisco.com/1cJcyZ4aDeUKn03AOb5KJAP4xlpd8NQr4RbRbsSE_ZrVHSz9pToczOuAl5d8fGTG1l6ym7cJLWT4dv1jDBr_BVHLs-yHVVd6d2Nzd8wVxw2ejJoF0syON_pCpij5-0bS9rrGdy7tvRa_zXBd1gENCEan8JJhq05emR7iMIn1GHpbln-j3GRkZqBeHIhUVlcOhmqgAyxc2_SIcIuadto2a5gGOa1bzYYoWwzEmNbuwXuwUTaH8Pgda8lqYMEF85vmtXax1ZnhaLE5PQzd7fXShIN-QRKUJGVeHfQCDIZOZaro/https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DLu56xVlZ40M"
moz-do-not-send="true">https://www.youtube.com/watch?v=Lu56xVlZ40M</a><br>
<div><br>
</div>
<div>This video (~6 mins) is what I had in mind when I was
talking about reinforcement learning yesterday.</div>
<div><br>
</div>
<div>Regards.</div>
<div>- Kumar</div>
</div>
<br>
<div class="gmail_quote">
<div dir="ltr" class="gmail_attr">On Wed, Nov 3, 2021 at 8:45
AM Thalanayar Muthukumar <<a
href="mailto:tnkumar@gmail.com" moz-do-not-send="true">tnkumar@gmail.com</a>>
wrote:<br>
</div>
<blockquote class="gmail_quote" style="margin:0px 0px 0px
0.8ex;border-left:1px solid
rgb(204,204,204);padding-left:1ex">
<div dir="ltr"><a
href="https://secure-web.cisco.com/1_5uQB8tfXpE1K81X8HTq4E-oAJ9wb9ufswQYGtWvRKx5ALb2uM_MBTvj55OiOuNIbOL_I5GIezIFxMqhZLcf3jsUsa_8SHD_YwCiZJdwG2QnSZKV-5Bbof-Y4RmyyYrnJTZ3BvbqZEskdRnz0F-Orw8r4CqqvqGC4KXtg2O1w24Gs4Uj2yuT5tdycFdrc3JEsJnMmdxt3QHao1xqNWdVGTSapzJmr33GCfzOKhsTpIftUrJU3uepwTZFcE3iNH3hJNHwun-yQ1mZYir0SCr72czyxw1NZzS71zG-pbOomB0/https%3A%2F%2Fwww.nasa.gov%2Fdirectorates%2Fspacetech%2Fgame_changing_development%2Fprojects%2FA-PUFFER"
target="_blank" moz-do-not-send="true">https://www.nasa.gov/directorates/spacetech/game_changing_development/projects/A-PUFFER</a><br>
<div><br>
</div>
<div>Something to reflect on ... </div>
<div>I liked the suggestion of a monthly knowledge share
session and would be interested to learn more.</div>
<div><br>
</div>
<div>Regards.</div>
<div>- Kumar</div>
</div>
</blockquote>
</div>
<br>
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