To perform experience replay we store the agent’s experiences et=(st,at,rt,st+1) Then we use a random sample of these prior actions instead of the most recent action to proceed. * This removes correlations in the observation sequence and smooths changes in the data distribution. * Iterative update adjusts Q towards targetContinue Reading
R Squared is the coefficient of determination it normally ranges from 0 to 1, and provides a measure of how well observed outcomes, are replicated by the model. The formula is: Residual(Error) sum of squares (RSS), also known as (SSR) , is the sum of the squares of theContinue Reading
k-means clustering is a method of vector quantization which finds good inter similarity between cluster members and intra-similarity between other clusters. k-means clustering partitions n observations into k clusters in which each observation belongs to the cluster with the nearest mean, These means are chosen so that in the nextContinue Reading