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Contenu fourni par Robin Ranjit Singh Chauhan. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Robin Ranjit Singh Chauhan ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
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David Silver 2 - Discussion after Keynote @ RCL 2024
Manage episode 436603495 series 2536330
Contenu fourni par Robin Ranjit Singh Chauhan. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Robin Ranjit Singh Chauhan ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Thanks to Professor Silver for permission to record this discussion after his RLC 2024 keynote lecture.
Recorded at UMass Amherst during RCL 2024.
Due to the live recording environment, audio quality varies. We publish this audio in its raw form to preserve the authenticity and immediacy of the discussion.
References
- AlphaProof announcement on DeepMind's blog
- Discovering Reinforcement Learning Algorithms, Oh et al -- His keynote at RLC 2024 referred to more recent update to this work, yet to be published
- Reinforcement Learning Conference 2024
- David Silver on Google Scholar
61 episodes
Partager
Manage episode 436603495 series 2536330
Contenu fourni par Robin Ranjit Singh Chauhan. Tout le contenu du podcast, y compris les épisodes, les graphiques et les descriptions de podcast, est téléchargé et fourni directement par Robin Ranjit Singh Chauhan ou son partenaire de plateforme de podcast. Si vous pensez que quelqu'un utilise votre œuvre protégée sans votre autorisation, vous pouvez suivre le processus décrit ici https://fr.player.fm/legal.
Thanks to Professor Silver for permission to record this discussion after his RLC 2024 keynote lecture.
Recorded at UMass Amherst during RCL 2024.
Due to the live recording environment, audio quality varies. We publish this audio in its raw form to preserve the authenticity and immediacy of the discussion.
References
- AlphaProof announcement on DeepMind's blog
- Discovering Reinforcement Learning Algorithms, Oh et al -- His keynote at RLC 2024 referred to more recent update to this work, yet to be published
- Reinforcement Learning Conference 2024
- David Silver on Google Scholar
61 episodes
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Similaire à TalkRL: The Reinforcement Learning Podcast
Discover a whole new take on Artificial Intelligence with Squirro's educational podcast! Join host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and their incredible impact on society, and y ...
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continue reading
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continue reading
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…
continue reading
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…
continue reading
Three nerds discussing tech, Apple, programming, and loosely related matters.
…
continue reading
A podcast featuring panelists of engineers from Netflix, Twitch, & Atlassian talking over drinks about all things software engineering.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Marc Fennell and a team of people far smarter than him (his words, not ours) take a fun deep dive into how technology is reshaping our lives.
…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
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Mettez-vous hors ligne avec l'application Player FM !
Mettez-vous hors ligne avec l'application Player FM !
