wcarvalho/Multitask_Preplay_Euclidean_Heuristics
Multitask Preplay — Euclidean heuristic sweeps Parameter-sweep data for the greedy and memory-based Euclidean-distance baselines of the Multitask Preplay paper (all H1+H2 settings, with alpha/radius/p_drop/beta/fidelity/decision parameter columns intact). Best settings used in the paper: JaxMaze alpha=10; Craftax alpha=10 with mild fidelity (r=2, p=0.1) and greedy decision. Data for the paper "Multitask Preplay" (PNAS). Analysis code:… See the full description on the dataset page: https://huggingface.co/datasets/wcarvalho/Multitask_Preplay_Euclidean_Heuristics.
This repository belongs to wcarvalho on Hugging Face.
CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.
