RL_Initialize sets up the components necessary for RL
RL_Initialize(
ParameterGridSet = NULL,
Alpha = 1L,
Beta = 1L,
SubDivisions = 1000L
)
This is a list of tuning grids
Prior successes
Prior trials
Tolerance for integration
Other Reinforcement Learning:
RL_ML_Update()
,
RL_Update()
,
RPM_Binomial_Bandit()
# NOT RUN {
RL_Start <- RL_Initialize(
ParameterGridSet = GridClusters,
Alpha = Alpha,
Beta = Beta,
SubDivisions = 1000L)
BanditArmsN <- RL_Start[["BanditArmsN"]]
Successes <- RL_Start[["Successes"]]
Trials <- RL_Start[["Trials"]]
GridIDs <- RL_Start[["GridIDs"]]
BanditProbs <- RL_Start[["BanditProbs"]]
# }
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