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!
arxiv.org
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...
