Deep Reinforcement Learning. Studiu de caz: Deep Q-Network

Deep Reinforcement Learning. Studiu de caz: Deep Q-Network

Artificial Intelligence (AI) became today perhaps the most up-to-date topic in many areas. One of the main goals of AI is to create completely autonomous agents able to interact with the surrounding world and learn by trial and error optimal behaviors in different contexts, perfectible in time. Am...

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Bibliographic Details
Main Author: Mihnea Horia VREJOIU
Format: Article
Language:English
Published: ICI Publishing House 2019-09-01
Series:Revista Română de Informatică și Automatică
Subjects:
reinforcement learning
agent
state
action
policy
temporal difference
Q-learning
deep learning
deep neural network
convolutional neural network
Online Access:https://rria.ici.ro/wp-content/uploads/2019/10/06-art.6-Mihnea_Vrejoiu.pdf

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https://rria.ici.ro/wp-content/uploads/2019/10/06-art.6-Mihnea_Vrejoiu.pdf

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