The generation of good label placement arrangements is a frequent problem when producing maps. The objective of a good label placement is to display the geographic position of the features with their matching label in a clear and harmonious fashion,
This paper use deep reinforcement learning to complish placement optimization. It is opportunity and challenge to physical design engineer. So I will do it from a interpreter.
Empirical regularities of order placement in the Chinese stock market，顾高峰，陈炜，Using ultra-high-frequency data extracted from the order flows of 23 stocks traded on the Shenzhen Stock Exchange, we study the empirical regularities of order placement in
