A learning algorithm based on $λ$-policy iteration and its application to the video game “tetris attack”
| dc.contributor.author | Thanh, Le Hoang | |
| dc.contributor.editor | Mayr, Heinrich C. | |
| dc.contributor.editor | Pinzger, Martin | |
| dc.date.accessioned | 2017-06-21T11:28:47Z | |
| dc.date.available | 2017-06-21T11:28:47Z | |
| dc.date.issued | 2016 | |
| dc.identifier.isbn | 978-3-88579-653-4 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2016 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-259 | |
| dc.title | A learning algorithm based on $λ$-policy iteration and its application to the video game “tetris attack” | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 2162 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 2157 | |
| gi.conference.date | 26.-30. September 2016 | |
| gi.conference.location | Klagenfurt |
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