我正在读一本书,由Glenn Seemann和David M Bourg写的"AI for Game Developers“,他们使用视频游戏AI作为一个基于规则的学习系统的例子。该系统的规则是所有可能的3步组合。每条规则都有一个与之关联的“权重”。每当系统猜测错误时,规则的权重就会降低。当系统必须选择一条规则时,它会选择权重最高的规则。 这与基于强化学习的系统有什么不同?
,) -> documentai.Document: Processes a document using the Document AI(file_path, "rb") as file:
# Load Binary Data into Document AI= documentai.ProcessRequest(name=resource_name, ra
library(tidyverse)
nodes <- data.frame(name=c("H2o","H2O Driverless AI ","DAI","Thisis a Mechanized Operations Tracking System","H2O.ai","H2O","H2O is open-source software for Big DataNodeID = &