| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:OPTIMIZACIJA DELOVANJA AGENTA V MREŽNEM SVETU S Q-UČENJEM
Authors:ID Bibianko, Evgen (Author)
ID Strnad, Damjan (Mentor) More about this mentor... New window
ID Guid, Nikola (Comentor)
Files:.pdf UNI_Bibianko_Evgen_2012.pdf (1,45 MB)
MD5: 9224094B4A588D605F5645C62C46D222
PID: 20.500.12556/dkum/7bf09b6e-4d2a-464b-83c9-54c767fa2b3a
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu predstavljamo samoojačitveno učenje, ki je ena od paradigem učenja. Učenje preučuje optimizacijo obnašanja inteligentnih agentov v okolju, tako da dosežejo čim večjo nagrado. V diplomi opravimo splošen pregled področja, zatem pa implementiramo Q-učenje, ki je ena od metod samoojačitvenega učenja. Delovanje metode demonstriramo na primeru učenja agenta v mrežnem okolju, da preživi čim dlje s pobiranjem koristnih elementov v okolju.
Keywords:strojno učenje, samoojačitveno učenje, Q-učenje, nevronska mreža, mrežno okolje
Place of publishing:Maribor
Publisher:[E. Bibianko]
Year of publishing:2012
PID:20.500.12556/DKUM-38139 New window
UDC:004.85(043.2)
COBISS.SI-ID:16630806 New window
NUK URN:URN:SI:UM:DK:UHMCDPBQ
Publication date in DKUM:18.12.2012
Views:1344
Downloads:154
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:OPTIMISATION OF AGENT OPERATION IN A GRID WORLD USING Q-LEARNING
Abstract:In the thesis we present the reinforcement learning, which is one of the paradigms of learning. The learning studies optimisation of the behaviour of the inteligent agents in the environment with the purpose to achieve the best award possible. In the thesis a general field survey is made and after that Q-learning is being implemented Q-learning is one of the methods of the reinforcement learning. The function of the method is shown in the case of an agent in the grid world which has to survive by collecting good kind of elements in the world.
Keywords:machine learning, reinforcement learning, Q-learning, neural network, grid world


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica