Train.A3c: Use the A3C algorithm to train a model

Description Usage Arguments

View source: R/AsynchronousAdvantageActorCritic.R

Description

Returns a list as given by Initialise.A3C with stored experiences for each worker.

Usage

1
Train.A3c(model.par, algo.par, algo.var, game.object, episodes.max)

Arguments

model.par

A list as given by Get.Def.Par.Neural.Network.A3C or Get.Def.Par.Neural.Network.A3C.LSTM.

algo.par

A list as given by Get.Def.Par.A3C.

algo.var

A list as given by Initialise.A3C.

game.object

A Game Object (list) as defined by Get.Game.Object.<NAME>.

episodes.max

Specifies how many episodes should be played in total.


MartinKies/USLR documentation built on Nov. 10, 2019, 5:24 a.m.