Reinforcement Learning : MDP Applied to Autonomous Navigation
Mark A. Mueller · Machine Learning and Applications An International Journal · 2017
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 iteration (PI).