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  • Presented topic is from the research field called Artificial Life (ALife), but contributes also to the field of Artificial Intelligence (AI). We have built a new architecture of autonomous agent. Our agent is capable of fully autonomous learning. The course of learning is similar to newly born animal. The agent learns everything itself, from basic tasks towards the more complex knowledge. This newly gained knowledge is stored in the hierarchy of abstract actions. The main innovation in our approach can be seen in our new way how to implement hybrid hierarchical planner. This planner combines Reinforcement Learning (RL) and classical planning. The resulting hierarchical planner is domain independent, because it is capable to adapt itself to the given domain. We have tested this on the artificial agent within the virtual simulation environment.
  • Presented topic is from the research field called Artificial Life (ALife), but contributes also to the field of Artificial Intelligence (AI). We have built a new architecture of autonomous agent. Our agent is capable of fully autonomous learning. The course of learning is similar to newly born animal. The agent learns everything itself, from basic tasks towards the more complex knowledge. This newly gained knowledge is stored in the hierarchy of abstract actions. The main innovation in our approach can be seen in our new way how to implement hybrid hierarchical planner. This planner combines Reinforcement Learning (RL) and classical planning. The resulting hierarchical planner is domain independent, because it is capable to adapt itself to the given domain. We have tested this on the artificial agent within the virtual simulation environment. (en)
Title
  • Ethology-Inspired Advanced Problem Solving Mechanism
  • Ethology-Inspired Advanced Problem Solving Mechanism (en)
skos:prefLabel
  • Ethology-Inspired Advanced Problem Solving Mechanism
  • Ethology-Inspired Advanced Problem Solving Mechanism (en)
skos:notation
  • RIV/68407700:21230/12:00195389!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 134853
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00195389
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Agent; Behavior; Planner; Hybrid; Reinforcement; Learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [82F9A6221DC0]
http://linked.open...v/mistoKonaniAkce
  • Prague
http://linked.open...i/riv/mistoVydani
  • Praha
http://linked.open...i/riv/nazevZdroje
  • POSTER 2012 - 16th International Student Conference on Electrical Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Vítků, Jaroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-01-05043-9
http://localhost/t...ganizacniJednotka
  • 21230
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