sim_bandit: Generic C-MAB Simulation
In dfcorbin/npbanditC: (Contextual) Multi-Armed Bandit Simulations
Description
Generic C-MAB Simulation
Usage
1
sim_bandit(nsteps, J, means, sd, bas_type = "poly", alpha = 1, b = 1)
Arguments
nsteps
The number of steps in the Simulation.
J
The number of basis functions to be used in the model.
means
A list containing mean-reward functions for each lever.
sd
A vector with the standard deviation of each lever.
bas_type
Either "fourier" or "poly".
alpha
Parameter to control the rate of decay in the prior variance.
b
Hyper-parameter of the gamma distribution. Directly influences the rate
of exploration in the simulation.
dfcorbin/npbanditC documentation built on March 23, 2020, 5:25 a.m.
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Description
Generic C-MAB Simulation
Usage
1 | sim_bandit(nsteps, J, means, sd, bas_type = "poly", alpha = 1, b = 1)
|
Arguments
nsteps |
The number of steps in the Simulation. |
J |
The number of basis functions to be used in the model. |
means |
A list containing mean-reward functions for each lever. |
sd |
A vector with the standard deviation of each lever. |
bas_type |
Either "fourier" or "poly". |
alpha |
Parameter to control the rate of decay in the prior variance. |
b |
Hyper-parameter of the gamma distribution. Directly influences the rate of exploration in the simulation. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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