Learning.Algorithm
Algorithm๐
Structure
Learning.AlgorithmA stochastic, sequential algorithm.
structure
Learning.Algorithm.{u_4, u_5} (๐ : Type u_4) (๐จ : Type u_5) [MeasurableSpace ๐] [MeasurableSpace ๐จ] : Type (max u_4 u_5)Learning.Algorithm.{u_4, u_5} (๐ : Type u_4) (๐จ : Type u_5) [MeasurableSpace ๐] [MeasurableSpace ๐จ] : Type (max u_4 u_5)
Code
structure Algorithm (๐ ๐จ : Type*) [MeasurableSpace ๐] [MeasurableSpace ๐จ] where /-- Policy or sampling rule: distribution of the next action. -/ policy : (n : โ) โ Kernel (Iic n โ ๐ ร ๐จ) ๐ /-- The policy is a Markov kernel. -/ [h_policy : โ n, IsMarkovKernel (policy n)] /-- Distribution of the first action. -/ p0 : Measure ๐ /-- The first action distribution is a probability measure. -/ [hp0 : IsProbabilityMeasure p0]
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