Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
this condition is not satisfied, then the policy is called stochastic. The described problem is a classic formulation of exploration and exploitation trade-off. On the one hand, we want to exploit the best action to obtain the highest possible reward. On the other hand, we need to explore all