Synapse: Learning Preferential Concepts from Visual Demonstrations

arXiv:2403.16689v1 Announce Type: cross
Abstract: This paper addresses the problem of preference learning, which aims to learn user-specific preferences (e.g., "good parking spot", "convenient drop-off location") from visual input. Despite its similarity to learning factual concepts (e.g., "red cube"), preference learning is a fundamentally harder problem due to its subjective nature and the paucity of person-specific training data. We address this problem using a new framework called Synapse, which is a neuro-symbolic approach designed to efficiently learn preferential concepts from …

arxiv concepts cs.cv cs.lg cs.pl cs.ro synapse type visual