Reinforcement Learning, AI, Openai Gym, Mathematical Modeling.
positioned at x = 0.5: States in which the car is at x < 0.5 have a reward of -1, while those with x ≥ 0.5 have a reward of 0; thus, the agent’s goal is to get to the flag as quickly as possible to minimize the negative rewards it accumulates. We’ve now framed the MountainCar game as a Markov