The problem of autonomous vehicle navigation between lanes, around obstacles and towards a short term goal can be solved using Reinforcement Learning. The multi-lane road ahead of a vehicle may be represented by a Markov Decision Process (MDP) grid-world containing positive and negative rewards, allowing for practical computation of an optimal path using either value iteration (VI) or policy it...
