Machine Learning, Robotics, Autonomous Vehicles.
expected reward is 0, because there’s a 50% chance of a +100 reward, but also a 50% chance of a -100 reward. 0.5 * (+100) + 0.5 * (-100) = 50 + (-50) = 0 Once we establish that, the optimal policy is intuitive. There is no positive reward for reaching any state, but there is a cost to moving to any