The basic intuition of experience replay is to deal with an unnatural relationship of Q-learning, which is there exists relationship between state transformation samples but nn, as a supervised model, asks for independent identically distribution of samples. Experience replay breaks the relationship existing in samples by store-replay method. It randomly select samples from past state transformations which generally solves the correlated data and non-stationary distribution problem.