Underwater motion planning using reinforcement learning
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Kucner, Tomasz | |
dc.contributor.author | Nurmi, Eetu | |
dc.contributor.school | Sähkötekniikan korkeakoulu | fi |
dc.contributor.supervisor | Forsman, Pekka | |
dc.date.accessioned | 2023-06-20T08:13:30Z | |
dc.date.available | 2023-06-20T08:13:30Z | |
dc.date.issued | 2023-05-09 | |
dc.format.extent | 4+25 | |
dc.format.mimetype | application/pdf | en |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/121780 | |
dc.identifier.urn | URN:NBN:fi:aalto-202306204153 | |
dc.language.iso | en | en |
dc.programme | Sähkötekniikan kandidaattiohjelma | fi |
dc.programme.major | Automaatio- ja systeemitekniikka | fi |
dc.programme.mcode | ELEC3014 | fi |
dc.subject.keyword | motion planning | en |
dc.subject.keyword | path planning | en |
dc.subject.keyword | underwater robot | en |
dc.subject.keyword | reinforcement learning | en |
dc.title | Underwater motion planning using reinforcement learning | en |
dc.type | G1 Kandidaatintyö | fi |
dc.type.dcmitype | text | en |
dc.type.ontasot | Bachelor's thesis | en |
dc.type.ontasot | Kandidaatintyö | fi |