Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
equal probability on each node. There are two terminal states on both ends of the chain. The reward of getting into the left end is 0, and getting into the right end is +1. All the steps before the termination generate a reward of 0. Figure 3 Random Walk. Source: figure by the author And we can use