Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
more (state, action) pairs is to explicitly start episodes multiple times in every possible combination (state, action) to still get averages in rare scenarios. Another approach consists of randomly sampling starting states for every episode with a non-zero probability for all states. This approach