[CITI-IIS-ISS ]114-1 聯合研討暨茶會
- 時間2025-07-28 (Mon.) 14:00 ~ 2025-07-28 (Mon.) 15:00
- 地點統計所R216交誼廳
摘要
本所為增進跨所合作及交流，今年度起將與本院統計所及資創中心提供交流平台(如: 舉辦交流會、聯合Seminar..等)，聯合研討會主要以短講(約15-20分/場)方式進行，並提供茶點，歡迎所內研究人員、學生、助理等踴躍參加!
【會議海報及資訊點擊處】
資創中心短講資訊如下：
講者：王協源 研究員 (智慧物聯網專題中心執行長)
語言：中文
主題： Network Digital Twin: Introduction and Challenges
資訊所的短講資訊如下:
講者: 吳廸融 助研究員
語言: 中文
主題: Deep Reinforcement Learning in Game AI and Its Extended Applications
大綱: Deep Reinforcement Learning (DRL) has achieved significant advancements in various domains, such as game-playing, robotics, and natural language processing. Among these fields, game-playing serve as an important testing ground for DRL algorithms due to their controllable and accessible environments that stand in contrast to the complex real-world problems. In this talk, I will briefly introduce the concepts of DRL, discuss DRL advances in game-playing, and some extended applications.
統計所短講資訊如下:
講者: 陳素雲 研究員
語言: 中文
主題: Clustering Curves and Profiles: Scalable Methods for Functional Big Data
【會議海報及資訊點擊處】
資創中心短講資訊如下：
講者：王協源 研究員 (智慧物聯網專題中心執行長)
語言：中文
主題： Network Digital Twin: Introduction and Challenges
資訊所的短講資訊如下:
講者: 吳廸融 助研究員
語言: 中文
主題: Deep Reinforcement Learning in Game AI and Its Extended Applications
大綱: Deep Reinforcement Learning (DRL) has achieved significant advancements in various domains, such as game-playing, robotics, and natural language processing. Among these fields, game-playing serve as an important testing ground for DRL algorithms due to their controllable and accessible environments that stand in contrast to the complex real-world problems. In this talk, I will briefly introduce the concepts of DRL, discuss DRL advances in game-playing, and some extended applications.
統計所短講資訊如下:
講者: 陳素雲 研究員
語言: 中文
主題: Clustering Curves and Profiles: Scalable Methods for Functional Big Data