Primjena podržanog učenja na učenje lokomocije simuliranog tijela

master's thesis

• Title (english): Learning of Simulated Body Locomotion Based on Reinforcement Learning
• Author: Ivan Smoković
• Mentor: Marko Čupić (mentor)
• Committee member: Marko Čupić (predsjednik povjerenstva)
• Committee member: Željka Mihajlović (član povjerenstva)
• Committee member: Marko Đurasević (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-08, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Ovaj rad prikazuje rezultate evaluacije primjene algoritama podržanog učenja na problem učenja lokomocije jednostavnog simuliranog tijela. Osim prikaza i analize rezultata, ovaj rad sadrži i detaljan uvod u polje podržanog učenja. Uvode se osnove klasičnog podržanog učenja i matematičke podloge istoga. Zatim se pruža pregled osnovnih algoritama klasičnog podržanog učenja. Uvode se i osnove dubokog učenja kako bi čitatelj razvio intuiciju o primjeni takvih modela u podržanom učenju. Također, detaljno se opisuje i svaki korišteni algoritam.

Abstract (english)

This paper presents the results of the evaluation of the application of reinforcement learning algorithms to the locomotion learning problem of a simple simulated body. In addition to the presentation and analysis of results, this paper contains a detailed introduction to the field of reinforcement learning. The basics of classic reinforcement learning and its mathematical basis are introduced. An overview of the basic algorithms of classical supported learning is then provided. The basics of deep learning are also introduced to help the reader develop an intuition about the application of such models in supported learning. Also, each used algorithm is described in detail.

• Keywords: strojno učenje; duboko učenje; podržano učenje; duboko podržano učenje; lokomocija
• Keywords (english): machine learning; deep learning; reinforcement learning; deep reinforcement learning; locomotion
• Language: croatian
• URN:NBN: urn:nbn:hr:168:417227
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 10:44:03