Crate ratel_bandit

Ratel

A library for running multi-armed bandit simulations.

The simulation has two components: a Bandit with some number of arms which each has a payout according to some distribution, and an Agent that uses some strategy to learn the optimal bandit arm. A Game then consists of an Agent learning about a Bandit by pulling arms according to its preferred strategy.

Structs

BinomialBandit	A bandit whose arms distribute rewards according to the binomial distributions.
EpsilonGreedyAgent	Agent that follows the Epsilon-Greedy Algorithm.
ExponentialBandit	A bandit whose arms distribute rewards according to the exponential distributions.
Game	Structure to make the Agent interact with the Bandit.
GammaBandit	A bandit whose arms distribute rewards according to the gamma distributions.
GaussianBandit	A bandit whose arms distribute rewards according to the Gaussian distributions.
GreedyAgent	Agent that follows the Greedy Algorithm.
HarmonicStepper	Stepper with a harmonically decreasing step size.
LogNormalBandit	A bandit whose arms distribute rewards according to the Log Normal distributions.
OptimisticAgent	Agent that follows the Optimistic Algorithm.
RecordCounter	Counter for cases where individual records must be maintained.

Traits

Agent	A trait for common members of the Agents.
Bandit	A trait for common members of the Bandits
Counter	A trait for common methods required by all counters.
Stepper	Trait containing all methods required by all steppers.

Functions

print_hms

Prints the amount of time that has elapsed since a timer was started.