Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning

Interactive reinforcement learning (IRL) extends traditional reinforcement learning (RL) by allowing an agent to interact with parentlike trainers during a task. In this paper, we present an IRL approach using dynamic audio-visual input in terms of vocal commands and hand gestures as feedback. Our a...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Cruz, Francisco, Parisi, Germán, Wermter, Stefan
Formato: Objeto de conferencia Resumen
Lenguaje:Inglés
Publicado: 2018
Materias:
Ciencias Informáticas
interactive reinforcement learning
affordances
audio-visual feedback
parent-like trainer
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/70693
http://47jaiio.sadio.org.ar/sites/default/files/ASAI-06.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

Ejemplares similares

Ejemplares similares