benchmark/rl_h.R

In compstat-lmu/rlR: Reinforcement Learning in R

# this file is temporary before a package is made
library(checkmate)
library(data.table)
library(R6)
library(reticulate)
library(keras)
library(logging)
library(BBmisc)
library(openssl)
library(ggplot2)
library(reshape2)
library(formattable)
list.libs.imports = c("checkmate", "data.table", "R6", "reticulate", "keras", "logging", "BBmisc", "openssl", "ggplot2", "reshape2", "formattable")
list.libs.suggest = c("checkmate", "data.table", "BBmisc", "openssl", "ggplot2", "reshape2", "formattable")
lapply(list.libs.imports, function(x) devtools::use_package(x))
lapply(list.libs.imports, function(x) devtools::use_package(x, "Suggest"))
set.seed(1L)