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lorisgaven.bsky.social
Loris Gaven
@lorisgaven.bsky.social
58 followers 330 following 2 posts
Striving to make computers smarter. PhD student @FlowersINRIA
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lorisgaven.bsky.social
Loris Gaven @lorisgaven.bsky.social · Mar 24
Humans excel at estimating their own competence and progress on tasks. But can LLM agents do the same?

With 🧭MAGELLAN, our agent predicts its own learning progress across vast goal spaces, even generalizing to new tasks!

📄Paper: arxiv.org/abs/2502.07709
cartathomas.bsky.social
cartathomas.bsky.social @cartathomas.bsky.social · Mar 24
🚀 Introducing 🧭MAGELLAN—our new metacognitive framework for LLM agents! It predicts its own learning progress (LP) in vast natural language goal spaces, enabling efficient exploration of complex domains.🌍✨Learn more: 🔗 arxiv.org/abs/2502.07709 #OpenEndedLearning #LLM #RL
MAGELLAN: Metacognitive predictions of learning progress guide...
Open-ended learning agents must efficiently prioritize goals in vast possibility spaces, focusing on those that maximize learning progress (LP). When such autotelic exploration is achieved by LLM...
arxiv.org
1 2
lorisgaven.bsky.social
Loris Gaven @lorisgaven.bsky.social · Jun 25
🔔 Join our MAGELLAN talk on July 2!

We'll explore how LLM agents can monitor their own learning progress and choose what to learn next, like curious humans 🤔

1h presentation + 1h Q&A on autotelic agents & more!

📅 July 2, 4:30 PM CEST
🎟️ forms.gle/1PC2fxJx1PZYfqFr7
cartathomas.bsky.social
cartathomas.bsky.social @cartathomas.bsky.social · Mar 24
🚀 Introducing 🧭MAGELLAN—our new metacognitive framework for LLM agents! It predicts its own learning progress (LP) in vast natural language goal spaces, enabling efficient exploration of complex domains.🌍✨Learn more: 🔗 arxiv.org/abs/2502.07709 #OpenEndedLearning #LLM #RL
MAGELLAN: Metacognitive predictions of learning progress guide...
Open-ended learning agents must efficiently prioritize goals in vast possibility spaces, focusing on those that maximize learning progress (LP). When such autotelic exploration is achieved by LLM...
arxiv.org
1 1
Reposted by Loris Gaven
nicolasyax.bsky.social
Nicolas Yax @nicolasyax.bsky.social · Apr 24
🔥Our paper PhyloLM got accepted at ICLR 2025 !🔥
In this work we show how easy it can be to infer relationship between LLMs by constructing trees and to predict their performances and behavior at a very low cost with @stepalminteri.bsky.social and @pyoudeyer.bsky.social ! Here is a brief recap ⬇️
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lorisgaven.bsky.social
Loris Gaven @lorisgaven.bsky.social · Mar 24
Humans excel at estimating their own competence and progress on tasks. But can LLM agents do the same?

With 🧭MAGELLAN, our agent predicts its own learning progress across vast goal spaces, even generalizing to new tasks!

📄Paper: arxiv.org/abs/2502.07709
cartathomas.bsky.social
cartathomas.bsky.social @cartathomas.bsky.social · Mar 24
🚀 Introducing 🧭MAGELLAN—our new metacognitive framework for LLM agents! It predicts its own learning progress (LP) in vast natural language goal spaces, enabling efficient exploration of complex domains.🌍✨Learn more: 🔗 arxiv.org/abs/2502.07709 #OpenEndedLearning #LLM #RL
MAGELLAN: Metacognitive predictions of learning progress guide...
Open-ended learning agents must efficiently prioritize goals in vast possibility spaces, focusing on those that maximize learning progress (LP). When such autotelic exploration is achieved by LLM...
arxiv.org
1 2
Reposted by Loris Gaven
ccolas.bsky.social
cedric @ccolas.bsky.social · Nov 27
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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