April 4, 2024, 4:42 a.m. | Konrad Czechowski, Tomasz Odrzyg\'o\'zd\'z, Marek Zbysi\'nski, Micha{\l} Zawalski, Krzysztof Olejnik, Yuhuai Wu, {\L}ukasz Kuci\'nski, Piotr Mi{\l}o\'

cs.LG updates on arXiv.org arxiv.org

arXiv:2108.11204v3 Announce Type: replace-cross
Abstract: Humans excel in solving complex reasoning tasks through a mental process of moving from one idea to a related one. Inspired by this, we propose Subgoal Search (kSubS) method. Its key component is a learned subgoal generator that produces a diversity of subgoals that are both achievable and closer to the solution. Using subgoals reduces the search space and induces a high-level search graph suitable for efficient planning. In this paper, we implement kSubS using …

abstract arxiv cs.ai cs.lg diversity excel generator humans key moving process reasoning search tasks through type

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

AI Engineering Manager

@ M47 Labs | Barcelona, Catalunya [Cataluña], Spain