Original title: Effects of hyperparameters in multiple sequence alignment for Align-RUDDER using Clustal
Authors: SAMWALD, Christian
Document type: Bachelor's theses
Year: 2021
Language: eng
Abstract: Delayed rewards are detrimental to the learning of reinforcement learning agents.One approach to this problem is the usage of return decomposition and rewardredistribution. It was realised in the Align-RUDDER algorithm of Patilet al.[14].Their solution employed the multiple sequence alignment algorithm Clustal W. Iintegrated the sequence alignment Tool Clustal, Clustal W's successor, intoAlign RUDDER to increase efficiency. During the testing process, the usage ofClustal's EPA function and the effects of different sample sizes played a centralrole. The data set that was used came from the MineRL data set [6].
Keywords: Align-RUDDER; Bioinformatics; Clustal; Multiple sequence Alignment; Reinforcement Learning; Sequence alignment
Citation: SAMWALD, Christian. Effects of hyperparameters in multiple sequence alignment for Align-RUDDER using Clustal. České Budějovice, 2021. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta

Institution: University of South Bohemia in České Budějovice (web)
Document availability information: Fulltext is available in the Digital Repository of University of South Bohemia.
Original record: http://www.jcu.cz/vskp/63078

Permalink: http://www.nusl.cz/ntk/nusl-517563


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Universities and colleges > Public universities > University of South Bohemia in České Budějovice
Academic theses (ETDs) > Bachelor's theses