Reinforcement learning : an introduction /
"Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richar...
Main Authors: | Sutton, Richard S. (Author), Barto, Andrew G. (Author) |
---|---|
Formato: | Libro |
Idioma: | English |
Publicado: |
Cambridge, Massachusetts :
The MIT Press,
c2018
|
Edición: | Second edition. |
Series: | Adaptive computation and machine learning series
|
Subjects: | |
Classic Catalogue: | View this record in Classic Catalogue |
Títulos similares
-
Dynamic power management by reinforcement learning
por: Hossain, Safayet, et al.
Publicado: (2016) -
Self-learning game bot using deep reinforcement learning
por: Ananto, Azizul Haque
Publicado: (2018) -
Character animation using reinforcement learning and imitation learning algorithms
por: Tahmid, Tokey, et al.
Publicado: (2021) -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
por: Mahmud, Aqil, et al.
Publicado: (2023) -
Traffic congestion reduction in SUMO using reinforcement learning method
por: Mouly, Radia Rahman, et al.
Publicado: (2021)