Reinforcement Learning, Machine Learning, Monte Carlo, Data Science, Thoughts And Theory.
agent. Stepping into other cells brings the reward R = 0. The optimal strategy would consist of collecting the reward at D2 and then navigating to the terminal state at A3. Unfortunately, this would not always be the case if the balance between exploration and exploitation is not adjusted