Planning and Acting with Non-Deterministic Events: Navigating between Safe States
Identifikátory výsledku
Kód výsledku v 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>
Nalezeny alternativní kódy
RIV/68407700:21230/20:00341720
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Planning and Acting with Non-Deterministic Events: Navigating between Safe States
Popis výsledku v původním jazyce
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's consent. Besides disrupting agent's plan, events might hinder agent'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. "damage" 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 "unsafe" actions in a plan and a technique for generating "robust" 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.
Název v anglickém jazyce
Planning and Acting with Non-Deterministic Events: Navigating between Safe States
Popis výsledku anglicky
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's consent. Besides disrupting agent's plan, events might hinder agent'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. "damage" 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 "unsafe" actions in a plan and a technique for generating "robust" 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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Thirty-Fourth AAAI Conference on Artificial Intelligence
ISBN
978-1-57735-835-0
ISSN
2374-3468
e-ISSN
—
Počet stran výsledku
8
Strana od-do
9802-9809
Název nakladatele
PKP
Místo vydání
Kanada
Místo konání akce
New York, USA
Datum konání akce
7. 2. 2020
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—