Educational guide
IDENTIFYING DATA							2023_24
Subject	REINFORCEMENT LEARNING					Code	01751013
Study programme	1751 - M.U.ROBOTICA E INTELIGENCIA ARTIFICIAL
Descriptors	Credit.	Type	Year	Period
	3	Optional	First	Second
Language
Prerequisites
Department	ING.MECANICA,INFORMAT.AEROESP.
Coordinador	MATELLÁN OLIVERA , VICENTE				E-mail	vmato@unileon.es - pverg@unileon.es
Lecturers	MATELLÁN OLIVERA , VICENTE DIEZ GONZALEZ , JAVIER VERDE GARCIA , PAULA
Web	http://
General description
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS Secretario GUERRERO HIGUERAS , ANGEL MANUEL Vocal ING.MECANICA,INFORMAT.AEROESP. SANCHEZ GONZALEZ , LIDIA Tribunal suplente Cargo Departamento Profesor Presidente MATEMATICAS GARCIA SIERRA , JUAN FELIPE Secretario ING.MECANICA,INFORMAT.AEROESP. RODRIGUEZ LERA , FRANCISCO JAVIER Vocal ING.MECANICA,INFORMAT.AEROESP. FERNANDEZ LLAMAS , CAMINO

Topic	Sub-topic

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
	10	0	10
	50	0	50
	11	0	11
Assignments	2	0	2
Lecture	0	0	0
Objective multiple-choice tests	1	0	1
Mixed tests	1	0	1
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies   ::  

	Description
Assignments
Lecture

Assignments Objective multiple-choice tests Mixed tests

Description

	Description	Qualification
Assignments		60%
Objective multiple-choice tests		20%
Mixed tests		20%
Other comments and second call

Basic	Hao Dong, Shanghang Zhang, Zihan Ding, Deep Reinforcement Learning Fundamentals, Research and Applications, Springer Nature, 2020 Richard S. Sutton, Andrew G. Barto, Reinforcement Learning An Introduction, MIT Press, 2018 Abhishek Nandy, Manisha Biswas , Reinforcement Learning With Open AI, TensorFlow and Keras Using Python, Apress, 2017
Complementary