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Bayes Forum - Max Planck Society

wwwmpa.mpa-garching.mpg.de

Oct 25, · 21 December 2015: Jan Leike (Australian National University) Abstract: Reinforcement learning (RL) is a subdiscipline of machine learning that studies algorithms that learn to act in an unknown environment through trial and error; the goal is to maximize a numeric reward signal.

Besuch einer Informatikkonferenz - heizmann.name

heizmann.name

Einer der Höhepunkte im Arbeitsleben eines Forschers ist der Besuch von Konferenzen. Hier darf man, sofern man von Programmkomitee der Konferenz …

Inference Meta-Learning (part I) | OpenCog Brainwaveblog.opencog.org › › i...

blog.opencog.org

[4] Jan Leike et al. Thompson Sampling is Asymptotically Optimal in. General Environments. Click to access 20.pdf. [5] Nil Geisweiller. Inference ...

Learning from Human Preferences

openai.com

The research described in this post was done in collaboration with Jan Leike, Miljan Martic, and Shane Legg at DeepMind. Our two ...

New safety research agenda: scalable agent alignment via reward...

www.alignmentforum.org

Jan Leike and others from the DeepMind safety team have released a new research agenda on reward learning: "Ultimately, the goal of AI ...

What is it that makes us hate? - Forums - MyAnimeList.net

myanimelist.net

Derek Brown, LinkedIn, Addepar Gabriel Synnaeve, Ecole Normale ... Jan Leike, ANU, AI Ph.D. student. Kent Pavey, PhD Mathematical ...

Jointly Learning "What" and "How" from Instructions and Goal-States |...

openreview.net

Jointly Learning "What" and "How" from Instructions and Goal-States. Dzmitry Bahdanau, Felix Hill, Jan Leike, Edward Hughes, Pushmeet Kohli ...

New paper: “A formal solution to the grain of truth problem” — By...

lifeboat.com

Future of Humanity Institute Research Fellow Jan Leike and MIRI Research Fellows Jessica Taylor and Benya Fallenstein have just presented new results at UAI...

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Artikel & Meinungen Jan Leike