Zero-shot World Models via Search in Memory
World Models have vastly permeated the field of Reinforcement Learning. Their ability to model the transition dynamics of an environment have greatly improved sample efficiency in online RL. Among the...
Our paper “Zero-shot World Models via Search in Memory” (by F. Malato & @villeh.bsky.social) was accepted to #NeurIPS2025! 🎉 A training-free world model predicting dynamics via memory search.
Poster: Exhibit Hall C,D,E on Wed 3 Dec 4:30–7:30 PM PST 🔗 arxiv.org/abs/2510.16123
See you in San Diego!
29.10.2025 13:20 — 👍 3 🔁 1 💬 0 📌 1
Hello BlueSky! We're StatML, the Statistical Machine Learning research group at the University of Eastern Finland. We study AI and Reinforcement Learning from multiple perspectives. Our website is launching soon, and we can’t wait to share more about our work!
27.10.2025 15:11 — 👍 4 🔁 0 💬 0 📌 0
Research Professor at the Spanish National Research Council (CSIC). Head of Human-Centred & AI Security, Ethics and Privacy Lab - https://hasp-lab.github.io
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AI researcher Google DeepMind * hon. professor at Heriot-Watt University * mother of dragons * Own opinions only.
Associate Professor – Department of Computer Science, Aalto University – theory of distributed & parallel computing – https://jukkasuomela.fi
Working on Explainable AI in ML and Recommender Systems.
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PhD candidate at AI & ML lab @ TU Darmstadt (he/him). Research on deep learning, representation learning, neuro-symbolic AI, explainable AI, verifiable AI and interactive AI