About: Real-Time Action Model Learning with Online Algorithm 3 SG     Goto   Sponge   NotDistinct   Permalink

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Description
  • An action model, as a logic-based representation of action’s effects and preconditions, constitutes an essential requirement for planning and intelligent behavior. Writing these models by hand, especially in complex domains, is often a time-consuming and error-prone task. An alternative approach is to let the agents learn action models from their own observations. We introduce a novel action learning algorithm called 3SG (Simultaneous Specification, Simplification, and Generalization), analyze and prove some of its properties, and present the first experimental results (using real-world robots of the SyRoTek platform and simulated agents in action computer game Unreal Tournament 2004). Unlike the majority of available alternatives, 3SG produces probabilistic action models with conditional effects and deals with action failures, sensoric noise, and incomplete observations. The main difference, however, is that 3SG is an online algorithm, which means it is rather fast (polynomial in the size of the input) but potentially less precise.
  • An action model, as a logic-based representation of action’s effects and preconditions, constitutes an essential requirement for planning and intelligent behavior. Writing these models by hand, especially in complex domains, is often a time-consuming and error-prone task. An alternative approach is to let the agents learn action models from their own observations. We introduce a novel action learning algorithm called 3SG (Simultaneous Specification, Simplification, and Generalization), analyze and prove some of its properties, and present the first experimental results (using real-world robots of the SyRoTek platform and simulated agents in action computer game Unreal Tournament 2004). Unlike the majority of available alternatives, 3SG produces probabilistic action models with conditional effects and deals with action failures, sensoric noise, and incomplete observations. The main difference, however, is that 3SG is an online algorithm, which means it is rather fast (polynomial in the size of the input) but potentially less precise. (en)
Title
  • Real-Time Action Model Learning with Online Algorithm 3 SG
  • Real-Time Action Model Learning with Online Algorithm 3 SG (en)
skos:prefLabel
  • Real-Time Action Model Learning with Online Algorithm 3 SG
  • Real-Time Action Model Learning with Online Algorithm 3 SG (en)
skos:notation
  • RIV/68407700:21230/14:00227813!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
http://linked.open...iv/cisloPeriodika
  • 7
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 41490
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00227813
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Computer Science; Artificial Intelligence; Engineering; Electrical & Electronic (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • GB - Spojené království Velké Británie a Severního Irska
http://linked.open...ontrolniKodProRIV
  • [ECB114C5F518]
http://linked.open...i/riv/nazevZdroje
  • Applied Artificial Intelligence
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 28
http://linked.open...iv/tvurceVysledku
  • Čertický, Michal
http://linked.open...ain/vavai/riv/wos
  • 000340389400003
issn
  • 0883-9514
number of pages
http://bibframe.org/vocab/doi
  • 10.1080/08839514.2014.927692
http://localhost/t...ganizacniJednotka
  • 21230
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