電腦對局理論
Theory of Computer Games
| 節 | 週二 |
|---|---|
A 18:30–19:20 | 電腦對局理論 EC115（光復） 3 節連堂 |
B 19:30–20:20 | |
C 20:30–21:20 |
* 根據陽明交大上課時間表所列
Learn all kinds of algorithms and techniques to design various computer games. These algorithms and techniques include recent very successful machine learning methods by AlphaGo, such as reinforcement learning and deep learning.
Algorithms (undergraduate) Artificial intelligence/Machine learning (Good to take in advance, but not required)
無備註
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Homeworks (~20%) Projects (~36%) Final exam (~24%) Presentation (~20%)
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Syllabus & Introduction 9/10 |
| 第 2 週 | Survey – Game solved 9/17 |
| 第 3 週 | Reinforcement learning 9/24 |
| 第 4 週 | TD learning and Deep Learning 10/1 |
| 第 5 週 | Alpha-beta pruning and its analysis 10/8 |
| 第 6 週 | Scout/NegaScout and SSS* 10/15 |
| 第 7 週 | Enhancements to alpha-beta search 10/22 |
| 第 8 週 | Monte-Carlo tree search 10/29 |
| 第 9 週 | Threat-space search 11/5 |
| 第 10 週 | Proof number search 11/12 |
| 第 11 週 | Single-player games and A* algorithm 11/19 |
| 第 12 週 | Parallel game tree search 11/26 |
| 第 13 週 | Combinatorial game theory 12/3 |
| 第 14 週 | Paper Presentation 12/10 |
| 第 15 週 | Paper Presentation 12/17 |
| 第 16 週 | Paper Presentation 12/24 |
| 第 17 週 | Paper Presentation 12/31 |
| 第 18 週 | Final exam 1/7 |
電腦對局導論 ISBN:9789863502371 出版社: 國立臺灣大學 作者: 徐讚昇等著 出版日期: 2017/06/01 All teaching materials are at http://e3.nctu.edu.tw. Many of them are from http://www.iis.sinica.edu.tw/~tshsu/tcg2007/index.html (under the courtesy of Prof. Hsu)
- 地點
- EC517
- 時間
- 4:30-5:30pm Tuesday
- 聯絡方式
- icwu@csie.nctu.edu.tw