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Learning Program Synthesis for Integer Sequences from Scratch

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00372125" target="_blank" >RIV/68407700:21730/23:00372125 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1609/aaai.v37i6.25930" target="_blank" >https://doi.org/10.1609/aaai.v37i6.25930</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1609/aaai.v37i6.25930" target="_blank" >10.1609/aaai.v37i6.25930</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Learning Program Synthesis for Integer Sequences from Scratch

  • Original language description

    We present a self-learning approach for synthesizing programs from integer sequences. Our method relies on a tree search guided by a learned policy. Our system is tested on the On-Line Encyclopedia of Integer Sequences. There, it discovers, on its own, solutions for 27987 sequences starting from basic operators and without human-written training examples.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 37th AAAI Conference on Artificial Intelligence

  • ISBN

  • ISSN

    2159-5399

  • e-ISSN

    2374-3468

  • Number of pages

    8

  • Pages from-to

    7670-7677

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park

  • Event location

    Washington, DC

  • Event date

    Feb 7, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article