The Viterbi algorithm (using the maximum likelihood decoding (MLD) algorithm) is a dynamic programming algorithm for finding the most likely sequence of hidden states – called the Viterbi path in hidden Markov models (HMM)Continue Reading
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