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Learning to Play Tetris using Reinforcement Learning
| Content Provider | Semantic Scholar |
|---|---|
| Author | Kuna, Karol |
| Copyright Year | 2016 |
| Abstract | Tetris Tetris is a single-player game where a piece called tetromino is falling from the top of the screen. Player can rotate the tetromino, move it (left, right, down), or do nothing. Tetromino falls down by one level every 5 steps, giving player an opportunity to either think or move it as desired. The objective is to arrange tetrominos at the bottom of the screen so that a horizontal line is created. Once that happens, this line is cleared and player scores a point. The game ends when the stack of tetrominos reaches top of the screen and no new tetromino can appear. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://nlp.fi.muni.cz/uiprojekt/ui/kuna_karol2016/tetris-documentation.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |