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[新聘演講]Researches on CGI -- an AlphaGo/AlphaZero-based Computer Go Program

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[新聘演講]Researches on CGI -- an AlphaGo/AlphaZero-based Computer Go Program

  • 講者吳廸融 博士 (國立陽明交通大學)
    邀請人:徐讚昇
  • 時間2022-04-12 (Tue.) 10:00 – 12:00
  • 地點實體: 資訊所新館106演講廳;提供視訊
線上串流
會議鏈結:
https://asmeet.webex.com/asmeet/j.php?MTID=m9cae7e194331679c3da27894d33c184c
 
會議號:
2513 157 0174
 
會議密碼:
KNwitVzR966
 
 
摘要

In this talk, I will present the research on the development of CGI, an AlphaGo/AlphaZero-based Computer Go Program. First, I will briefly summarize our research achievements including some awards and honors. Then, I will present three of the past research topics. (a) Proposed a new approach to a novel value network architecture for the game of Go. This is the first AlphaGo-like program that can play handicap games. (b) Applied Population Based Training (PBT) to training a Go program CGI. Based on this method, CGI obtains a winrate of 74% against ELF OpenGo (SOTA), developed by Facebook. (c) Proposed a novel approach to strength adjustment for MCTS-based game-playing programs. Based on this method, CGI can cover strengths ranging from beginners to super-human players for Go. Finally, I will also describe the ongoing research topics.

BIO

Ti-Rong Wu is currently a postdoctoral fellow in the Department of Computer Science at National Yang Ming Chiao Tung University. He received his Ph.D. degree in Computer Science from National Chiao Tung University in 2020. His research interests include computer games, reinforcement learning, and deep reinforcement learning. He led a group in the CGI lab that developed a computer Go program, named CGI Go Intelligence, which won many competitions, particularly the second place in the First World AI Go Open in 2017, in which defeated FineArt, developed by Tencent. The research results have also been published in several top-tier journals and conferences.