一些常聽的 Podcast 節目 (*),適合坐車、(讓眼睛) 休息、睡前、或運動時聽 (Some frequently listened-to podcasts (*) suitable for listening while traveling, giving your eyes a rest, before bed, or during exercise.)
Acquired (You could look at its transcript using iPhone.)
Course objective: This course introduces dynamic decision-making under uncertainty, with an emphasis on dynamic programming and reinforcement learning. Drawing on applications in business and engineering, students will learn key theories and algorithms for solving multi-stage decision problems, both with and without explicit models of the environment. Assignments and a final project provide practical experience in problem formulation, algorithm evaluation, and Python-based implementation.
20:50 -- 26:20: It is better to skim 10 papers than to read one in detail because you kind of then get 10 points in your cloud of like what might be possible. Or even skim a 100 abstracts because what you want to be able to do is connect you know important idead that have not yet been connected.... Try lots of things that might not work. Some of them will.
Taking fundamental courses in a field is important so you have a solid background to engage in research or development. For beginners in research, thoroughly reading a high-quality paper is essential to master the research problem and understand the technical presentation.
You can track researchers in your research field using Google Scholar. Best paper awards in top journals or conferences are also excellent sources. You can also search for "classic or famous paper[s] in [your field]" to find the fundamental papers in that field.
The engineers need to read one paper per week, and five persons need to present their experiments in one AI department with 100 persons at TSMC.
Reading history books to understand human nature and society can be highly useful.