Exploring how different state representations and configurations affect the learning process and outcome of deep Q-learning algorithms

URI: http://hdl.handle.net/1992/14977

URL: http://biblioteca.uniandes.edu.co/acepto201699.php?id=11391.pdf

Author: Montoya Sefair, Diego

Director: Takahashi Rodríguez, Silvia

Publication date: 2016

Content type: undergraduateThesis

Keywords:

Aprendizaje por refuerzo (Aprendizaje automático) - Investigaciones

Redes neurales (Computadores) - Investigaciones

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