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Asheville CharliePlinked out a new song on the <a href="https://mastodon.social/tags/guitar" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#guitar</a> last night. 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 noreferrer" target="_blank">#song</a> to post. (this post to make me do it)<a href="https://mastodon.social/tags/music" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#music</a> <a href="https://mastodon.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a>

Pyrzout :vm: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 noreferrer" translate="no" target="_blank">https://hackaday.com/2025/04/23/improved-and-open-source-non-planar-infill-for-fdm/</a> <a href="https://social.skynetcloud.site/tags/post" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#post</a>-processing <a href="https://social.skynetcloud.site/tags/3dPrinterhacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#3dPrinterhacks</a> <a href="https://social.skynetcloud.site/tags/SoftwareHacks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SoftwareHacks</a> <a href="https://social.skynetcloud.site/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://social.skynetcloud.site/tags/bambustudio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bambustudio</a> <a href="https://social.skynetcloud.site/tags/PrusaSlicer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PrusaSlicer</a> <a href="https://social.skynetcloud.site/tags/3dprinting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#3dprinting</a> <a href="https://social.skynetcloud.site/tags/interlayer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#interlayer</a> <a href="https://social.skynetcloud.site/tags/orcaslicer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#orcaslicer</a> <a href="https://social.skynetcloud.site/tags/Bambulab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bambulab</a> <a href="https://social.skynetcloud.site/tags/g" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#g</a>-code <a href="https://social.skynetcloud.site/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#python</a> <a href="https://social.skynetcloud.site/tags/prusa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#prusa</a> <a href="https://social.skynetcloud.site/tags/sine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#sine</a> <a href="https://social.skynetcloud.site/tags/FDM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FDM</a>

JMLR'Learning Global Nash Equilibrium in Team Competitive Games with Generalized Fictitious Cross-Play', by Zelai Xu, Chao Yu, Yancheng Liang, Yi Wu, Yu Wang.<a href="http://jmlr.org/papers/v26/24-1503.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v26/24-1503.html</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/games" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#games</a> <a href="https://sigmoid.social/tags/play" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#play</a>

Philo Sophies<a href="https://troet.cafe/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoomposium</a> with Dr. <a href="https://troet.cafe/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Patrick</a> <a href="https://troet.cafe/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Krauß</a>: Building instructions for <a href="https://troet.cafe/tags/artificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificial</a> <a href="https://troet.cafe/tags/consciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#consciousness</a>Transferring the various stages of <a href="https://troet.cafe/tags/Damasio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Damasio</a>'s <a href="https://troet.cafe/tags/theory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#theory</a> of consciousness 1:1 into concrete <a href="https://troet.cafe/tags/schematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#schematics</a> for <a href="https://troet.cafe/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deeplearning</a>. To this end, strategies such as <a href="https://troet.cafe/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#feedforward</a> connections, <a href="https://troet.cafe/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a> <a href="https://troet.cafe/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#connections</a> in the form of <a href="https://troet.cafe/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> learning and <a href="https://troet.cafe/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unsupervised</a> <a href="https://troet.cafe/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learning</a> are used to simulate the <a href="https://troet.cafe/tags/biological" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biological</a> <a href="https://troet.cafe/tags/processes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#processes</a> of the <a href="https://troet.cafe/tags/neuronal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuronal</a> <a href="https://troet.cafe/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#networks</a>. More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/</a>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/rXamzyoggCo</a>

Philo Sophies<a href="https://troet.cafe/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoomposium</a> mit Dr. <a href="https://troet.cafe/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Patrick</a> <a href="https://troet.cafe/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Krauß</a>: „Bauanleitung <a href="https://troet.cafe/tags/K%C3%BCnstliches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Künstliches</a> <a href="https://troet.cafe/tags/Bewusstsein" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bewusstsein</a>“Die verschiedenen Stufen von <a href="https://troet.cafe/tags/Damasios" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Damasios</a> <a href="https://troet.cafe/tags/Theorie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Theorie</a> des Bewusstseins 1:1 in konkrete <a href="https://troet.cafe/tags/Schaltpl%C3%A4ne" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Schaltpläne</a> für ein <a href="https://troet.cafe/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> zu überführen. Hierzu werden Strategien wie <a href="https://troet.cafe/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#feedforward</a> connections, <a href="https://troet.cafe/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a> <a href="https://troet.cafe/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#connections</a> in Form von <a href="https://troet.cafe/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> learning und <a href="https://troet.cafe/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unsupervised</a> learning angewendet, um die <a href="https://troet.cafe/tags/biologischen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biologischen</a> <a href="https://troet.cafe/tags/Prozesse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Prozesse</a> der <a href="https://troet.cafe/tags/neuronalen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuronalen</a> <a href="https://troet.cafe/tags/Netze" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Netze</a> zu simulieren. Mehr auf: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/</a>oder: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/rXamzyoggCo</a>

Philo Sophies<a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoomposium</a> with Dr. <a href="https://planetearth.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Patrick</a> <a href="https://planetearth.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Krauß</a>: Building instructions for <a href="https://planetearth.social/tags/artificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificial</a> <a href="https://planetearth.social/tags/consciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#consciousness</a>Transferring the various stages of <a href="https://planetearth.social/tags/Damasio" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Damasio</a>'s <a href="https://planetearth.social/tags/theory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#theory</a> of consciousness 1:1 into concrete <a href="https://planetearth.social/tags/schematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#schematics</a> for <a href="https://planetearth.social/tags/deeplearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deeplearning</a>. To this end, strategies such as <a href="https://planetearth.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#feedforward</a> connections, <a href="https://planetearth.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a> <a href="https://planetearth.social/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#connections</a> in the form of <a href="https://planetearth.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> learning and <a href="https://planetearth.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unsupervised</a> <a href="https://planetearth.social/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learning</a> are used to simulate the <a href="https://planetearth.social/tags/biological" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biological</a> <a href="https://planetearth.social/tags/processes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#processes</a> of the <a href="https://planetearth.social/tags/neuronal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuronal</a> <a href="https://planetearth.social/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#networks</a>. More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/</a>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/rXamzyoggCo</a>

Philo Sophies<a href="https://planetearth.social/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoomposium</a> mit Dr. <a href="https://planetearth.social/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Patrick</a> <a href="https://planetearth.social/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Krauß</a>: „Bauanleitung <a href="https://planetearth.social/tags/K%C3%BCnstliches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Künstliches</a> <a href="https://planetearth.social/tags/Bewusstsein" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bewusstsein</a>“Die verschiedenen Stufen von <a href="https://planetearth.social/tags/Damasios" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Damasios</a> <a href="https://planetearth.social/tags/Theorie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Theorie</a> des Bewusstseins 1:1 in konkrete <a href="https://planetearth.social/tags/Schaltpl%C3%A4ne" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Schaltpläne</a> für ein <a href="https://planetearth.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DeepLearning</a> zu überführen. Hierzu werden Strategien wie <a href="https://planetearth.social/tags/feedforward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#feedforward</a> connections, <a href="https://planetearth.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a> <a href="https://planetearth.social/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#connections</a> in Form von <a href="https://planetearth.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> learning und <a href="https://planetearth.social/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unsupervised</a> learning angewendet, um die <a href="https://planetearth.social/tags/biologischen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biologischen</a> <a href="https://planetearth.social/tags/Prozesse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Prozesse</a> der <a href="https://planetearth.social/tags/neuronalen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuronalen</a> <a href="https://planetearth.social/tags/Netze" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Netze</a> zu simulieren. Mehr auf: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/</a>oder: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/rXamzyoggCo</a>

Philo Sophies<a href="https://mastodon.world/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoomposium</a> with Dr. <a href="https://mastodon.world/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Patrick</a> <a href="https://mastodon.world/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Krauß</a>: Building instructions for <a href="https://mastodon.world/tags/artificial" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificial</a> <a href="https://mastodon.world/tags/consciousness" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#consciousness</a>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 noreferrer" target="_blank">#schematics</a> for <a href="https://mastodon.world/tags/deep" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#deep</a> <a href="https://mastodon.world/tags/learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learning</a>. To this end, strategies such as <a href="https://mastodon.world/tags/feed" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#feed</a>-forward connections, <a href="https://mastodon.world/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a> <a href="https://mastodon.world/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#connections</a> in the form of <a href="https://mastodon.world/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> learning and <a href="https://mastodon.world/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unsupervised</a> learning are used to simulate the <a href="https://mastodon.world/tags/biological" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biological</a> <a href="https://mastodon.world/tags/processes" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#processes</a> of the <a href="https://mastodon.world/tags/neuronal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuronal</a> <a href="https://mastodon.world/tags/networks" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#networks</a>. More at: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/</a>or: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/rXamzyoggCo</a>

Philo Sophies<a href="https://mastodon.world/tags/Zoomposium" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Zoomposium</a> mit Dr. <a href="https://mastodon.world/tags/Patrick" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Patrick</a> <a href="https://mastodon.world/tags/Krau%C3%9F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Krauß</a>: „Bauanleitung <a href="https://mastodon.world/tags/K%C3%BCnstliches" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Künstliches</a> <a href="https://mastodon.world/tags/Bewusstsein" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bewusstsein</a>“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 noreferrer" target="_blank">#Schaltpläne</a> für ein <a href="https://mastodon.world/tags/Deep" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Deep</a> <a href="https://mastodon.world/tags/Learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Learning</a> zu überführen. Hierzu werden Strategien wie <a href="https://mastodon.world/tags/feed" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#feed</a>-forward connections, <a href="https://mastodon.world/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a> <a href="https://mastodon.world/tags/connections" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#connections</a> in Form von <a href="https://mastodon.world/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> learning und <a href="https://mastodon.world/tags/unsupervised" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unsupervised</a> learning angewendet, um die <a href="https://mastodon.world/tags/biologischen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biologischen</a> <a href="https://mastodon.world/tags/Prozesse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Prozesse</a> der <a href="https://mastodon.world/tags/neuronalen" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#neuronalen</a> <a href="https://mastodon.world/tags/Netze" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Netze</a> zu simulieren. Mehr auf: <a href="https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://philosophies.de/index.php/2023/10/24/bauanleitung-kuenstliches-bewusstsein/</a>oder: <a href="https://youtu.be/rXamzyoggCo" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://youtu.be/rXamzyoggCo</a>

JMLR'Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents', by Marco Pleines, Matthias Pallasch, Frank Zimmer, Mike Preuss.<a href="http://jmlr.org/papers/v26/24-0043.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v26/24-0043.html</a> <a href="https://sigmoid.social/tags/memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#memory</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/recurrent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#recurrent</a>

JMLR'A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees', by Brent A. Wallace, Jennie Si.<a href="http://jmlr.org/papers/v25/24-0017.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/24-0017.html</a> <a href="https://sigmoid.social/tags/control" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#control</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/exploration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#exploration</a>

JMLR'Learning Dynamic Mechanisms in Unknown Environments: A Reinforcement Learning Approach', by Shuang Qiu, Boxiang Lyu, Qinglin Meng, Zhaoran Wang, Zhuoran Yang, Michael I. Jordan.<a href="http://jmlr.org/papers/v25/23-0159.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0159.html</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/reward" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reward</a> <a href="https://sigmoid.social/tags/dynamic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#dynamic</a>

JMLR'Learning Regularized Graphon Mean-Field Games with Unknown Graphons', by Fengzhuo Zhang, Vincent Y. F. Tan, Zhaoran Wang, Zhuoran Yang.<a href="http://jmlr.org/papers/v25/23-1409.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-1409.html</a> <a href="https://sigmoid.social/tags/graphon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#graphon</a> <a href="https://sigmoid.social/tags/graphons" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#graphons</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a>

Knowledge Zone<a href="https://mstdn.social/tags/ITByte" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ITByte</a>: Deep Q-learning is a <a href="https://mstdn.social/tags/Reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Reinforcement</a> <a href="https://mstdn.social/tags/Learning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Learning</a> technique that combines Q-Learning and deep neural networks. It aims to help agents learn optimal actions in complex environments. Here is a brief overview of Q-Learning and Deep Q-Learning.<a href="https://knowledgezone.co.in/posts/Deep-Q-Learning-658274c3ba2d4885a8a72691" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://knowledgezone.co.in/posts/Deep-Q-Learning-658274c3ba2d4885a8a72691</a>

JMLR'Sample Complexity of Variance-Reduced Distributionally Robust Q-Learning', by Shengbo Wang, Nian Si, Jose Blanchet, Zhengyuan Zhou.<a href="http://jmlr.org/papers/v25/23-0526.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0526.html</a> <a href="https://sigmoid.social/tags/robust" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#robust</a> <a href="https://sigmoid.social/tags/efficiently" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#efficiently</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a>

JMLR'Goal-Space Planning with Subgoal Models', by Chunlok Lo et al.<a href="http://jmlr.org/papers/v25/24-0040.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/24-0040.html</a> <a href="https://sigmoid.social/tags/planning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#planning</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/abstraction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#abstraction</a>

JMLR'Empirical Design in Reinforcement Learning', by Andrew Patterson, Samuel Neumann, Martha White, Adam White.<a href="http://jmlr.org/papers/v25/23-0183.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0183.html</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/experiments" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#experiments</a> <a href="https://sigmoid.social/tags/hyperparameters" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hyperparameters</a>

JMLR'Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning', by Luofeng Liao, Zuyue Fu, Zhuoran Yang, Yixin Wang, Dingli Ma, Mladen Kolar, Zhaoran Wang.<a href="http://jmlr.org/papers/v25/22-0965.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/22-0965.html</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/unobserved" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#unobserved</a> <a href="https://sigmoid.social/tags/causal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causal</a>

JMLR'Value-Distributional Model-Based Reinforcement Learning', by Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters.<a href="http://jmlr.org/papers/v25/23-0913.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/23-0913.html</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/quantile" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#quantile</a> <a href="https://sigmoid.social/tags/learns" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#learns</a>

JMLR'Pearl: A Production-Ready Reinforcement Learning Agent', by Zheqing Zhu et al.<a href="http://jmlr.org/papers/v25/24-0196.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">http://jmlr.org/papers/v25/24-0196.html</a> <a href="https://sigmoid.social/tags/reinforcement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#reinforcement</a> <a href="https://sigmoid.social/tags/rl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rl</a> <a href="https://sigmoid.social/tags/agent" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#agent</a>

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