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 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 let programs play, design and solve various 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)
Online course link: https://meet.google.com/kdx-rdub-dpr To apply for registration or auditing (申請加簽或旁聽): https://reurl.cc/OkqkbX
Homeworks (~20%) Projects (~36%) Final exam (~24%) Presentation (~20%)
| 週次 | 主題 |
|---|---|
| 第 1 週 | Syllabus & Introduction |
| 第 2 週 | Survey – Game solved |
| 第 3 週 | Reinforcement learning |
| 第 4 週 | Reinforcement learning |
| 第 5 週 | Depth-first interactive-deepening |
| 第 6 週 | Alpha-beta pruning and its analysis |
| 第 7 週 | Enhancements to alpha-beta search |
| 第 8 週 | Monte-Carlo tree search |
| 第 9 週 | Proof number search |
| 第 10 週 | Threat-space search |
| 第 11 週 | Combinatorial game theory |
| 第 12 週 | Paper Presentation |
| 第 13 週 | Paper Presentation |
| 第 14 週 | Paper Presentation |
| 第 15 週 | Paper Presentation |
| 第 16 週 | Final exam |
| 第 17 週 | Tournament |
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 https://e3.nycu.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@cs.nctu.edu.tw