Train Station, Reinforcement Learning, Machine Learning, Editors Pick, Thoughts And Theory.
quality of the state transition. The goal of RL is to learn a policy, either deterministic or probabilistic to maximise the accumulative reward. Let us go back to the elevator controller system. The state of the environment is a R⁷ vector (floor_0_up, floor_1_up, …,floor_3__down, occupancy,