Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
computation. The idea of batch updating [2] was proposed to deal with such a situation by fully utilizing the existing trajectories. The idea of batch training is to update the values on a batch of trajectories repeatedly until the values converge to an answer. The values will only be updated once