Deep learning and computer chess (part 1)
The purpose of this report is to show the implementations and experiments of the Monte Carlo Tree Search Algorithm played on a simple chess engine against an AI that uses deterministic & Minimax algorithm. The Chess Engine was implemented in Java language, as well as the MCTS algorithm.
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2020
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sg-ntu-dr.10356-1379232020-04-18T06:48:03Z Deep learning and computer chess (part 1) Ngui, Seng Yang He Ying School of Computer Science and Engineering yhe@ntu.edu.sg Engineering::Computer science and engineering The purpose of this report is to show the implementations and experiments of the Monte Carlo Tree Search Algorithm played on a simple chess engine against an AI that uses deterministic & Minimax algorithm. The Chess Engine was implemented in Java language, as well as the MCTS algorithm. Bachelor of Engineering (Computer Science) 2020-04-18T06:48:03Z 2020-04-18T06:48:03Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/137923 en SCSE19-0098 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering Ngui, Seng Yang Deep learning and computer chess (part 1) |
description |
The purpose of this report is to show the implementations and experiments of the Monte Carlo Tree Search Algorithm played on a simple chess engine against an AI that uses deterministic & Minimax algorithm. The Chess Engine was implemented in Java language, as well as the MCTS algorithm. |
author2 |
He Ying |
author_facet |
He Ying Ngui, Seng Yang |
format |
Final Year Project |
author |
Ngui, Seng Yang |
author_sort |
Ngui, Seng Yang |
title |
Deep learning and computer chess (part 1) |
title_short |
Deep learning and computer chess (part 1) |
title_full |
Deep learning and computer chess (part 1) |
title_fullStr |
Deep learning and computer chess (part 1) |
title_full_unstemmed |
Deep learning and computer chess (part 1) |
title_sort |
deep learning and computer chess (part 1) |
publisher |
Nanyang Technological University |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/137923 |
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1681058294601351168 |