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.
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/137923 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |