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Planning and Acting with Non-Deterministic Events: Navigating between Safe States

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F20%3A10423817" target="_blank" >RIV/00216208:11320/20:10423817 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21230/20:00341720

  • Result on the web

    <a href="https://doi.org/10.1609/aaai.v34i06.6532" target="_blank" >https://doi.org/10.1609/aaai.v34i06.6532</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1609/aaai.v34i06.6532" target="_blank" >10.1609/aaai.v34i06.6532</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Planning and Acting with Non-Deterministic Events: Navigating between Safe States

  • Original language description

    Automated Planning addresses the problem of finding a sequence of actions, a plan, transforming the environment from its initial state to some goal state. In real-world environments, exogenous events might occur and might modify the environment without agent&apos;s consent. Besides disrupting agent&apos;s plan, events might hinder agent&apos;s pursuit towards its goals and even cause damage (e.g. destroying the robot). In this paper, we leverage the notion of Safe States in dynamic environments under presence of non-deterministic exogenous events that might eventually cause dead-ends (e.g. &quot;damage&quot; the agent) if the agent is not careful while executing its plan. We introduce a technique for generating plans that constrains the number of consecutive &quot;unsafe&quot; actions in a plan and a technique for generating &quot;robust&quot; plans that effectively evade event effects. Combination of both approaches plans and executes robust plans between safe states. We empirically show that such an approach effectively navigates the agent towards its goals in spite of presence of dead-ends.

  • 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

    2020

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Thirty-Fourth AAAI Conference on Artificial Intelligence

  • ISBN

    978-1-57735-835-0

  • ISSN

    2374-3468

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    9802-9809

  • Publisher name

    PKP

  • Place of publication

    Kanada

  • Event location

    New York, USA

  • Event date

    Feb 7, 2020

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article