🔔 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
25.06.2025 15:14 — 👍 1 🔁 1 💬 0 📌 1
🔥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 ⬇️
24.04.2025 13:15 — 👍 16 🔁 5 💬 3 📌 2
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
24.03.2025 19:53 — 👍 2 🔁 1 💬 0 📌 0
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!
27.11.2024 17:43 — 👍 6 🔁 6 💬 1 📌 0
Researcher in Machine Learning and Genetics. Here to explore projects in ALife and machine learning - particularly interested in self organising systems and interpretability! (he/him)
phd student building computational models of social cognition @ edinburgh | prev imperial, ucl, inria
https://maxtaylordavi.es
Cognitive Science postdoc. University of Geneva. Ex-HRL team (DEC, ENS, Paris)
human behavior/reinforcement learning/decision-making/computational modeling
Researcher at Inria. Simulating the origins of life, cognition and culture. Using methods from ALife and AI.
Publications: https://scholar.google.com/citations?hl=en&user=rBnV60QAAAAJ&view_op=list_works&sortby=pubdate
Prev. posts still on X same username
Cognitive scientist, philosopher, and psychologist at Berkeley, author of The Scientist in the Crib, The Philosophical Baby and The Gardener and the Carpenter and grandmother of six.
Reinforcement learning researcher, dabbled in robotics, and generative techniques that were later made out of date by diffusion. Currently at Sony AI, working on game AI
Computational cognitive scientist interested in learning and decision-making in human and machiches
Research director of the Human Reinforcement Learning team
Ecole Normale Supérieure (ENS)
Institut National de la Santé et Recherche Médicale (INSERM)
Assistant professor at Cornell Psychology Department. CoCoCo Lab (Cornell Computational Cognition Lab) @co3lab.bsky.social. I am recruiting!
Research Scientist at 🤗 @huggingface, PhD. student at @FlowersINRIA.
Studying how autonomous Deep RL agents 🤖 can leverage LLMs 📖
Also playing bass 🎸
Assistant professor at Princeton CS working on reinforcement learning and AI/ML.
Site: https://ben-eysenbach.github.io/
Lab: https://princeton-rl.github.io/
Lead agent research at H, full professor on sabbatical, ex Ubisoft, ex Meta FAIR
ML research group @universityofoxford.bsky.social. Focussed on multi-agent, open-ended, meta and reinforcement learning as well as agent based models. More at http://foersterlab.com.
Prof (CS @Stanford), Co-Director @StanfordHAI, Cofounder/CEO @theworldlabs, CoFounder @ai4allorg #AI #computervision #robotics #AI-healthcare
PhD candidate @real.itu.dk
Artificial Life | Complex Systems | Neural Networks
Research Scientist at DeepMind. Opinions my own. Inventor of GANs. Lead author of http://www.deeplearningbook.org . Founding chairman of www.publichealthactionnetwork.org
Game Developer making games with AI 🪄 at Hugging Face
Writing on Generative AI in Games ➡️ https://bit.ly/3UZc9Yi
Wrote Deep RL Course ➡️ http://bit.ly/34fMhwc
