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cedric

@ccolas.bsky.social
241 followers 53 following 17 posts

Building autotelic agents from socio-cultural interactions ccolas.github.io

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cedric @ccolas.bsky.social · 22/12/2024
induction vs transduction point holds with induction you can search because you have a metric to optimise (% train examples correct) with transduction there is no clear metric to guide search / brute force, so the model needs to get it right? or to come up with a way to guide its own search
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cedric @ccolas.bsky.social · 22/12/2024
just checked, on semi-private set ryan got 43 (not that far i admit)
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cedric @ccolas.bsky.social · 22/12/2024
ok he did use for loops so he didn't hill climb, but you can 'filter good candidates' by taking the solutions that solves 100% training examples, and submit only these as solutions with transduction you can't filter the challenge rules say you can submit only 2 (3?) solutions per pb
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cedric @ccolas.bsky.social · 22/12/2024
2) he used program synthesis which allows hill climbing on the % of training examples correct if the o3 prompt that circulates is correct, the o3 score uses transduction (predicting output grid directly), and you can't hill climb there you can ensemble, but that doesn't help much for hard pbs
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cedric @ccolas.bsky.social · 22/12/2024
this is a misleading comparison for two reasons 1) that guy got 50% on the public test set, which is easier than the private test set where o3 reached the 85%(87?)
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cedric @ccolas.bsky.social · 21/12/2024
the official testing procedure is 2 or 3 solutions per problem iirc, don't think chollet would have let them brute force it it seems they don't use program induction, so they can't hill climb on training examples either
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cedric @ccolas.bsky.social · 16/12/2024
hmm is there no bookmarks over here? or did i miss them?
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cedric @ccolas.bsky.social · 09/12/2024
imol-workshop.github.io
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cedric @ccolas.bsky.social · 09/12/2024
hope to see you all at the IMOL worskhop on sunday!
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cedric @ccolas.bsky.social · 09/12/2024
my work: scholar.google.com/citations?user=VBz8gZ4AAAAJ
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cedric @ccolas.bsky.social · 09/12/2024
in vancouver for @neuripsconf.bsky.social looking forward catching up with friends and meeting new ones! reach out to chat about: > open-ended learning > intrinsic motivations > exploration and diversity search > social and cultural learning > llm agents > other?
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cedric @ccolas.bsky.social · 29/11/2024
hi Melanie, we have a cool workshop on intrinsically motivated open-ended learning with a blend of cogsci and ai on dec 15 @IMOLNeurIPS2024 on X see program here: imol-workshop.github.io/pages/program/
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cedric @ccolas.bsky.social · 28/11/2024
oh cool, what's the paper? i've been thinking it could be the case and was wondering who wrote about it
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cedric @ccolas.bsky.social · 27/11/2024
find more info at flowers.inria.fr/jobs/ (other positions are open)
flowers.inria.fr
Jobs - Flowers Laboratory
FLOWing Epigenetic Robots and Systems
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cedric @ccolas.bsky.social · 27/11/2024
balancing exploration and exploitation with autotelic rl autotelic rl is usually concerned with open-ended exploration in the absence of external reward how should we conduct an open-ended exploration *at the service* of an external task? deep rl skills required
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cedric @ccolas.bsky.social · 27/11/2024
llm-mediated cultural evolution we wanna study how llm-based agents can be used to facilitate collective intelligence in controlled human experiment where groups of participant collectively find solutions to problems this requires some background in cogsci + llms
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cedric @ccolas.bsky.social · 27/11/2024
we are recruiting interns for a few projects with @pyoudeyer in bordeaux > studying llm-mediated cultural evolution with @nisioti_eleni @Jeremy__Perez > balancing exploration and exploitation with autotelic rl with @ClementRomac details and links in 🧵 please share!
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