US Taiwan Watch：美國台灣觀測站 (陳方隅、李可心、李昱孝、許亞傑)，為什麼我們要在意美國？從外交、制度、重大議題全面解析台美關係，聯經，2021
10/01/2023
9/17/2023
Genius Makers
Cade Metz, Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World, Dutton, 2021.
王曉伯譯，AI製造商沒說的祕密: 企業巨頭的搶才大戰如何改寫我們的世界?，時報文化，2022
9/11/2023
9/04/2023
The Art of Linear Algebra
Kenji Hiranabe, Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
I tried intuitive visualizations of important concepts introduced in "Linear Algebra for Everyone".
9/02/2023
Champion-level drone racing using deep reinforcement learning
Kaufmann, E., Bauersfeld, L., Loquercio, A. et al. Champion-level drone racing using deep reinforcement learning. Nature 620, 982–987 (2023). https://doi.org/10.1038/s41586-023-06419-4
First-person view (FPV) drone racing is a televised sport in which professional competitors pilot high-speed aircraft through a 3D circuit. Each pilot sees the environment from the perspective of their drone by means of video streamed from an onboard camera. Reaching the level of professional pilots with an autonomous drone is challenging because the robot needs to fly at its physical limits while estimating its speed and location in the circuit exclusively from onboard sensors. Here we introduce Swift, an autonomous system that can race physical vehicles at the level of the human world champions. The system combines deep reinforcement learning (RL) in simulation with data collected in the physical world. Swift competed against three human champions, including the world champions of two international leagues, in real-world head-to-head races. Swift won several races against each of the human champions and demonstrated the fastest recorded race time. This work represents a milestone for mobile robotics and machine intelligence, which may inspire the deployment of hybrid learning-based solutions in other physical systems.
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