Abstraction from demonstration for efficient reinforcement learning in high-dimensional domains
- Author
- COBO, Luis C1 ; SUBRAMANIAN, Kaushik2 ; ISBELL, Charles L2 ; LANTERMAN, Aaron D1 ; THOMAZ, Andrea L2
[1] School of Electrical and Computer Engineering, Georgia Tech, Atlanta, GA, 30332, United States
[2] College of Computing, Georgia Tech, Atlanta, GA, 30332, United States - Source
Artificial intelligence (General ed.). 2014, Vol 216, pp 103-128, 26 p ; ref : 69 ref
- CODEN
- AINTBB
- ISSN
- 0004-3702
- Scientific domain
- Cognition; Computer science
- Publisher
- Elsevier, Oxford
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Dimensionality reduction Function approximation Learning from demonstration Reinforcement learning
- Keyword (fr)
- Abstraction Algorithme approximation Analyse n dimensionnelle Apprentissage renforcé Décision séquentielle Gestion tâche Imitation Méthode espace état Opérateur humain Prise de décision Réduction dimension Utilité attendue Approximation d'une fonction Jeu ordinateur
- Keyword (en)
- Abstraction Approximation algorithm Multidimensional analysis Reinforcement learning Sequential decision Task scheduling Imitation State space method Human operator Decision making Dimension reduction Expected utility Function approximation Computer games
- Keyword (es)
- Abstracción Algoritmo aproximación Análisis n dimensional Aprendizaje reforzado Decisión secuencial Gestión labor Imitación Método espacio estado Operador humano Toma decision Reducción dimensión Utilidad espera Aproximación de funciones Juegos de computadora
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02A Theoretical computing / 001D02A05 Algorithmics. Computability. Computer arithmetics
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B04 Computer systems and distributed systems. User interface
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C02 Learning and adaptive systems
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28775786
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.artint.2014.07.003 
https://dx.doi.org/10.1016/j.artint.2014.07.003
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