Methods of Machine Learning and their Application. The Basics of Markov Decision Processes and Reinforcement Learning

Language: English

Published by GRIN Verlag Nov 2021, 2021

3346518191 / 9783346518194

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Neuware - Bachelor Thesis from the year 2021 in the subject Engineering - Computer Engineering, grade: 1,3, Hamburg University of Technology (Embedded Systems), language: English, abstract: This bachelor thesis aims to illustrate the idea behind Markov Decision Processes (MDP) and to present a few basic methods of Reinforcement Learning (RL) namely Monte Carlo Learning and Q-Learning, which are the solutions for decision problems modelled by MDPs. For the last section we apply these methods on an application and in the end discuss the results.Let us imagine the scenario where we put a hamster inside a maze, we expect the hamster to go through the maze till it reaches some point we considered as the goal. Well, it may randomly work but most of the time it won't. At this place, the hamster does not know how important this particular point remains namely the goal. But how will it be, when we remunerate the hamster once the goal is reached, he receives a reward for example a piece of cheese. The hamster will start to remember the route, which leads to the cheese and he maybe will learn to go the easy and quick way to achieve this goal. What we did, is that we reinforce the good behavior of the hamster by giving it some reward.…

Seller Inventory # 9783346518194

Title
Methods of Machine Learning and their Application. The Basics of Markov Decision Processes and Reinforcement Learning
Author
Omar Baiazid
Publisher
GRIN Verlag Nov 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3346518191
ISBN 13
9783346518194
Item weight
62 grams
Dimensions
210x148x3 mm

AHA-BUCH GmbH

Einbeck, Germany

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