Reinforcement Learning, Machine Learning, Monte Carlo Method, Temporal Difference, Data Science.
Reward: 0 ← Node D → 0 Links: Node D ← Node E → None Reward: 0 ← Node E → 1 The true value for each node of the environment under a random policy is [1/6, 2/6, 3/6, 4/6, 5/6]. The value was calculated by the policy evaluation with Bellam equation: Our task here is to find how close the values