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Description
  • Presented topic is from the research fields called Artificial Life and Artificial Intelligence (AI). In this paper, there is presented novel approach to designing agent architectures with its requiements. The approach in inspired by inherited modularity of biological brains and agent architectures are represented here as set of given reusable modules connected into a particular topology. This paper presents design of two particular modules for future use in more complex architectures. The modules are used for implementing model-free motivation-driven Reinforcement Learning (RL). First, the novel framework for these architectures is described together with a used simulator. Then, the design of two new reusable domain-independent components of agent architectures is described. Finally, expwerimental validation of these new components and their future use is mentioned.
  • Presented topic is from the research fields called Artificial Life and Artificial Intelligence (AI). In this paper, there is presented novel approach to designing agent architectures with its requiements. The approach in inspired by inherited modularity of biological brains and agent architectures are represented here as set of given reusable modules connected into a particular topology. This paper presents design of two particular modules for future use in more complex architectures. The modules are used for implementing model-free motivation-driven Reinforcement Learning (RL). First, the novel framework for these architectures is described together with a used simulator. Then, the design of two new reusable domain-independent components of agent architectures is described. Finally, expwerimental validation of these new components and their future use is mentioned. (en)
Title
  • Reusable Reinforcement Learning for Modular Self Motivated Agents
  • Reusable Reinforcement Learning for Modular Self Motivated Agents (en)
skos:prefLabel
  • Reusable Reinforcement Learning for Modular Self Motivated Agents
  • Reusable Reinforcement Learning for Modular Self Motivated Agents (en)
skos:notation
  • RIV/68407700:21230/14:00218087!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
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  • 42581
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/14:00218087
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Agent; Architecure; Artifical Life; Creature; Behaviour; Hybrid; Neural Networks; Evolution (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [C732774C618A]
http://linked.open...v/mistoKonaniAkce
  • Brescia
http://linked.open...i/riv/mistoVydani
  • Brusel
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 28th European Conference on Modeling and Simulation
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nahodil, Pavel
  • Vítků, Jaroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.7148/2014-0352
http://purl.org/ne...btex#hasPublisher
  • European Council for Modelling and Simulation
https://schema.org/isbn
  • 978-0-9564944-8-1
http://localhost/t...ganizacniJednotka
  • 21230
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