A Review of Recent Advancements in Deep Reinforcement Learning by Sahakjan, Artur

A Review of Recent Advancements in Deep Reinforcement Learning (Paperback) (ISBN-13: 9783668765016)

Vendor: Artur Sahakjan
Product type: Books
Format: Paperback
$65.50
$65.50
$65.50
Subtotal: $65.50
A Review of Recent Advancements in Deep Reinforcement Learning by Sahakjan, Artur

A Review of Recent Advancements in Deep Reinforcement Learning

$65.50
A Review of Recent Advancements in Deep Reinforcement Learning by Sahakjan, Artur

A Review of Recent Advancements in Deep Reinforcement Learning

$65.50
Format: Paperback
Description
Description
x
Bachelor Thesis from the year 2018 in the subject Computer Science - Commercial Information Technology, grade: 1.0, University of Duisburg-Essen, language: English, abstract: Reinforcement learning is a learning problem in which an actor has to behave optimally in its environment. Deep learning methods, on the other hand, are a subclass of representation learning, which in turn focuses on extracting the necessary features for the task (e.g. classification or detection). As such, they serve as powerful function approximators. The combination of those two paradigm results in deep reinforcement learning. This thesis gives an overview of the recent advancement in the field. The results are divided into two broad research directions: value-based and policy-based approaches. This research shows several algorithms from those directions and how they perform. Finally, multiple open research questions are addressed and new research directions are proposed.

Author: Artur Sahakjan
ISBN-10: 3668765014
ISBN-13: 9783668765016
Publisher: Grin Verlag
Language: English
Published: 08/02/2018
Pages: 84
Format: Paperback
Weight: 0.27lbs
Size: 8.27h x 5.83w x 0.20d

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