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#reinforcement

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Blaze Trends<p>Tiago Matos, FC Porto UEFA Youth League Winner, Joins Marco 09</p><p><a href="https://mastodon.social/tags/football" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>football</span></a> <a href="https://mastodon.social/tags/Marco09" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Marco09</span></a> <a href="https://mastodon.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://mastodon.social/tags/TiagoMatos" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TiagoMatos</span></a> <a href="https://mastodon.social/tags/Transfer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Transfer</span></a> <br><a href="https://blazetrends.com/tiago-matos-fc-porto-uefa-youth-league-winner-joins-marco-09/?fsp_sid=75693" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blazetrends.com/tiago-matos-fc</span><span class="invisible">-porto-uefa-youth-league-winner-joins-marco-09/?fsp_sid=75693</span></a></p>
NHL News<p>Canadiens Executive Announces Unexpected Defensive Reinforcements Coming to Montreal <a href="https://www.rawchili.com/nhl/131705/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">rawchili.com/nhl/131705/</span><span class="invisible"></span></a> <a href="https://channels.im/tags/Acquisition" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Acquisition</span></a> <a href="https://channels.im/tags/AdamEngstr%C3%B6m" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AdamEngström</span></a> <a href="https://channels.im/tags/Hockey" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Hockey</span></a> <a href="https://channels.im/tags/JohnSedgwick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JohnSedgwick</span></a> <a href="https://channels.im/tags/Lineup" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Lineup</span></a> <a href="https://channels.im/tags/MontrealCanadiens" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MontrealCanadiens</span></a> <a href="https://channels.im/tags/NHL" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NHL</span></a> <a href="https://channels.im/tags/Reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reinforcement</span></a></p>
Blaze Trends<p>Benfica Signs Powerful Danish Right Back Kristian Olsen</p><p><a href="https://mastodon.social/tags/Benfica" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Benfica</span></a> <a href="https://mastodon.social/tags/KristianOlsen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>KristianOlsen</span></a> <a href="https://mastodon.social/tags/player" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>player</span></a> <a href="https://mastodon.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://mastodon.social/tags/sports" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sports</span></a> <br><a href="https://blazetrends.com/benfica-signs-powerful-danish-right-back-kristian-olsen/?fsp_sid=71851" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blazetrends.com/benfica-signs-</span><span class="invisible">powerful-danish-right-back-kristian-olsen/?fsp_sid=71851</span></a></p>
Blaze Trends<p>Danish International Mads Kyed Jensen Joins Sporting Volleyball Champions</p><p><a href="https://mastodon.social/tags/Danish" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Danish</span></a> <a href="https://mastodon.social/tags/International" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>International</span></a> <a href="https://mastodon.social/tags/MadsKyedJensen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MadsKyedJensen</span></a> <a href="https://mastodon.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://mastodon.social/tags/Sporting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sporting</span></a> <br><a href="https://blazetrends.com/danish-international-mads-kyed-jensen-joins-sporting-volleyball-champions/?fsp_sid=70373" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blazetrends.com/danish-interna</span><span class="invisible">tional-mads-kyed-jensen-joins-sporting-volleyball-champions/?fsp_sid=70373</span></a></p>
Blaze Trends<p>SC Braga Women Sign American Defender Ashley Moon Until 2027</p><p>#2027 <a href="https://mastodon.social/tags/AshleyMoon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AshleyMoon</span></a> <a href="https://mastodon.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://mastodon.social/tags/Sp" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Sp</span></a>.Braga <br><a href="https://blazetrends.com/sc-braga-women-sign-american-defender-ashley-moon-until-2027/?fsp_sid=64007" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">blazetrends.com/sc-braga-women</span><span class="invisible">-sign-american-defender-ashley-moon-until-2027/?fsp_sid=64007</span></a></p>
N-gated Hacker News<p>👨‍💻🤖 Oh joy, another <a href="https://mastodon.social/tags/GitHub" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>GitHub</span></a> <a href="https://mastodon.social/tags/repository" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>repository</span></a> boasting about implementing Sutton and Barto's RL methods! Because who doesn't want to navigate through yet another maze of <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/buzzwords" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>buzzwords</span></a> and autopilot <a href="https://mastodon.social/tags/code" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>code</span></a> writing? 🚀🎉<br><a href="https://github.com/ivanbelenky/RL" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">github.com/ivanbelenky/RL</span><span class="invisible"></span></a> <a href="https://mastodon.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>AI</span></a> <a href="https://mastodon.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Research</span></a> <a href="https://mastodon.social/tags/Reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reinforcement</span></a> <a href="https://mastodon.social/tags/Learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Learning</span></a> <a href="https://mastodon.social/tags/Tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Tech</span></a> <a href="https://mastodon.social/tags/Trends" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Trends</span></a> <a href="https://mastodon.social/tags/HackerNews" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>HackerNews</span></a> <a href="https://mastodon.social/tags/ngated" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ngated</span></a></p>
Asheville Charlie<p>Plinked out a new song on the <a href="https://mastodon.social/tags/guitar" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guitar</span></a> last night. <br>Kinda Pink Floyd-ish.. needs a little more work and then to the mixer so maybe on my next days off I'll have another <a href="https://mastodon.social/tags/song" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>song</span></a> to post. </p><p>(this post to make me do it)</p><p><a href="https://mastodon.social/tags/music" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>music</span></a><br><a href="https://mastodon.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a></p>
Pyrzout :vm:<p>Improved and Open Source: Non-Planar Infill for FDM <a href="https://hackaday.com/2025/04/23/improved-and-open-source-non-planar-infill-for-fdm/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">hackaday.com/2025/04/23/improv</span><span class="invisible">ed-and-open-source-non-planar-infill-for-fdm/</span></a> <a href="https://social.skynetcloud.site/tags/post" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>post</span></a>-processing <a href="https://social.skynetcloud.site/tags/3dPrinterhacks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3dPrinterhacks</span></a> <a href="https://social.skynetcloud.site/tags/SoftwareHacks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SoftwareHacks</span></a> <a href="https://social.skynetcloud.site/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://social.skynetcloud.site/tags/bambustudio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bambustudio</span></a> <a href="https://social.skynetcloud.site/tags/PrusaSlicer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PrusaSlicer</span></a> <a href="https://social.skynetcloud.site/tags/3dprinting" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>3dprinting</span></a> <a href="https://social.skynetcloud.site/tags/interlayer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>interlayer</span></a> <a href="https://social.skynetcloud.site/tags/orcaslicer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>orcaslicer</span></a> <a href="https://social.skynetcloud.site/tags/Bambulab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bambulab</span></a> <a href="https://social.skynetcloud.site/tags/g" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>g</span></a>-code <a href="https://social.skynetcloud.site/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://social.skynetcloud.site/tags/prusa" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>prusa</span></a> <a href="https://social.skynetcloud.site/tags/sine" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sine</span></a> <a href="https://social.skynetcloud.site/tags/FDM" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FDM</span></a></p>
JMLR<p>'Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play', by Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang.</p><p><a href="http://jmlr.org/papers/v26/24-1503.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v26/24-1503.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://sigmoid.social/tags/games" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>games</span></a> <a href="https://sigmoid.social/tags/play" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>play</span></a></p>
Philo Sophies<p><a href="https://troet.cafe/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://troet.cafe/tags/Patrick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Patrick</span></a> <a href="https://troet.cafe/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Krauß</span></a>: Building instructions for <a href="https://troet.cafe/tags/artificial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificial</span></a> <a href="https://troet.cafe/tags/consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>consciousness</span></a></p><p>Transferring the various stages of <a href="https://troet.cafe/tags/Damasio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Damasio</span></a>'s <a href="https://troet.cafe/tags/theory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theory</span></a> of consciousness 1:1 into concrete <a href="https://troet.cafe/tags/schematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>schematics</span></a> for <a href="https://troet.cafe/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://troet.cafe/tags/feedforward" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>feedforward</span></a> connections, <a href="https://troet.cafe/tags/recurrent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrent</span></a> <a href="https://troet.cafe/tags/connections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connections</span></a> in the form of <a href="https://troet.cafe/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> learning and <a href="https://troet.cafe/tags/unsupervised" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervised</span></a> <a href="https://troet.cafe/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> are used to simulate the <a href="https://troet.cafe/tags/biological" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biological</span></a> <a href="https://troet.cafe/tags/processes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>processes</span></a> of the <a href="https://troet.cafe/tags/neuronal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuronal</span></a> <a href="https://troet.cafe/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://planetearth.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Patrick</span></a> <a href="https://planetearth.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Krauß</span></a>: Building instructions for <a href="https://planetearth.social/tags/artificial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificial</span></a> <a href="https://planetearth.social/tags/consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>consciousness</span></a></p><p>Transferring the various stages of <a href="https://planetearth.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Damasio</span></a>'s <a href="https://planetearth.social/tags/theory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theory</span></a> of consciousness 1:1 into concrete <a href="https://planetearth.social/tags/schematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>schematics</span></a> for <a href="https://planetearth.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deeplearning</span></a>. To this end, strategies such as <a href="https://planetearth.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>feedforward</span></a> connections, <a href="https://planetearth.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrent</span></a> <a href="https://planetearth.social/tags/connections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connections</span></a> in the form of <a href="https://planetearth.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> learning and <a href="https://planetearth.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervised</span></a> <a href="https://planetearth.social/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a> are used to simulate the <a href="https://planetearth.social/tags/biological" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biological</span></a> <a href="https://planetearth.social/tags/processes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>processes</span></a> of the <a href="https://planetearth.social/tags/neuronal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuronal</span></a> <a href="https://planetearth.social/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://mastodon.world/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> with Dr. <a href="https://mastodon.world/tags/Patrick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Patrick</span></a> <a href="https://mastodon.world/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Krauß</span></a>: Building instructions for <a href="https://mastodon.world/tags/artificial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>artificial</span></a> <a href="https://mastodon.world/tags/consciousness" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>consciousness</span></a></p><p>Transferring the various stages of Damasio's theory of consciousness 1:1 into concrete <a href="https://mastodon.world/tags/schematics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>schematics</span></a> for <a href="https://mastodon.world/tags/deep" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>deep</span></a> <a href="https://mastodon.world/tags/learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>learning</span></a>. To this end, strategies such as <a href="https://mastodon.world/tags/feed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>feed</span></a>-forward connections, <a href="https://mastodon.world/tags/recurrent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrent</span></a> <a href="https://mastodon.world/tags/connections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connections</span></a> in the form of <a href="https://mastodon.world/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> learning and <a href="https://mastodon.world/tags/unsupervised" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervised</span></a> learning are used to simulate the <a href="https://mastodon.world/tags/biological" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biological</span></a> <a href="https://mastodon.world/tags/processes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>processes</span></a> of the <a href="https://mastodon.world/tags/neuronal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuronal</span></a> <a href="https://mastodon.world/tags/networks" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>networks</span></a>. </p><p>More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
Philo Sophies<p><a href="https://mastodon.world/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Zoomposium</span></a> mit Dr. <a href="https://mastodon.world/tags/Patrick" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Patrick</span></a> <a href="https://mastodon.world/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Krauß</span></a>: „Bauanleitung <a href="https://mastodon.world/tags/K%C3%BCnstliches" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Künstliches</span></a> <a href="https://mastodon.world/tags/Bewusstsein" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bewusstsein</span></a>“</p><p>Die verschiedenen Stufen von Damasios Theorie des Bewusstseins 1:1 in konkrete <a href="https://mastodon.world/tags/Schaltpl%C3%A4ne" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Schaltpläne</span></a> für ein <a href="https://mastodon.world/tags/Deep" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Deep</span></a> <a href="https://mastodon.world/tags/Learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Learning</span></a> zu überführen. Hierzu werden Strategien wie <a href="https://mastodon.world/tags/feed" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>feed</span></a>-forward connections, <a href="https://mastodon.world/tags/recurrent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrent</span></a> <a href="https://mastodon.world/tags/connections" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>connections</span></a> in Form von <a href="https://mastodon.world/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> learning und <a href="https://mastodon.world/tags/unsupervised" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>unsupervised</span></a> learning angewendet, um die <a href="https://mastodon.world/tags/biologischen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>biologischen</span></a> <a href="https://mastodon.world/tags/Prozesse" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Prozesse</span></a> der <a href="https://mastodon.world/tags/neuronalen" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>neuronalen</span></a> <a href="https://mastodon.world/tags/Netze" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Netze</span></a> zu simulieren. </p><p>Mehr auf: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">philosophies.de/index.php/2023</span><span class="invisible">/10/24/bauanleitung-kuenstliches-bewusstsein/</span></a></p><p>oder: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/rXamzyoggCo</span><span class="invisible"></span></a></p>
GripNews<p>🌘 GitHub - MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning<br>➤ 一本強化學習數學基礎的導引<br>✤ <a href="https://github.com/MathFoundationRL/Book-Mathematical-Foundation-of-Reinforcement-Learning" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/MathFoundationRL/Bo</span><span class="invisible">ok-Mathematical-Foundation-of-Reinforcement-Learning</span></a><br>這是一本名為《強化學習的數學基礎》的新書的首頁,旨在提供對強化學習基本概念、問題和經典算法的數學而易懂的介紹。<br>+ 這本書看起來非常有幫助,對於想深入瞭解強化學習的人來說是個好資源!<br>+ 我喜歡這本書的數學解釋方式,讓我能更清楚地掌握複雜的概念。<br><a href="https://mastodon.social/tags/Reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reinforcement</span></a> Learning</p>
JMLR<p>'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.</p><p><a href="http://jmlr.org/papers/v26/24-0043.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v26/24-0043.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/memory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>memory</span></a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://sigmoid.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>recurrent</span></a></p>
JMLR<p>'A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees', by Brent A. Wallace, Jennie Si.</p><p><a href="http://jmlr.org/papers/v25/24-0017.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/24-0017.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/control" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>control</span></a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://sigmoid.social/tags/exploration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>exploration</span></a></p>
JMLR<p>'Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach', by Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan.</p><p><a href="http://jmlr.org/papers/v25/23-0159.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0159.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a> <a href="https://sigmoid.social/tags/reward" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reward</span></a> <a href="https://sigmoid.social/tags/dynamic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dynamic</span></a></p>
JMLR<p>'Learning Regularized Graphon Mean-Field Games with Unknown Graphons', by Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang.</p><p><a href="http://jmlr.org/papers/v25/23-1409.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-1409.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/graphon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphon</span></a> <a href="https://sigmoid.social/tags/graphons" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>graphons</span></a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a></p>
Knowledge Zone<p><a href="https://mstdn.social/tags/ITByte" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ITByte</span></a>: Deep Q-learning is a <a href="https://mstdn.social/tags/Reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Reinforcement</span></a> <a href="https://mstdn.social/tags/Learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Learning</span></a> technique that combines Q-Learning and deep neural networks. It aims to help agents learn optimal actions in complex environments. </p><p>Here is a brief overview of Q-Learning and Deep Q-Learning.</p><p><a href="https://knowledgezone.co.in/posts/Deep-Q-Learning-658274c3ba2d4885a8a72691" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">knowledgezone.co.in/posts/Deep</span><span class="invisible">-Q-Learning-658274c3ba2d4885a8a72691</span></a></p>
JMLR<p>'Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning', by Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou.</p><p><a href="http://jmlr.org/papers/v25/23-0526.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">http://</span><span class="ellipsis">jmlr.org/papers/v25/23-0526.ht</span><span class="invisible">ml</span></a> <br> <br><a href="https://sigmoid.social/tags/robust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>robust</span></a> <a href="https://sigmoid.social/tags/efficiently" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>efficiently</span></a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>reinforcement</span></a></p>