AUTOMATIC NAVIGATION USING DEEP REINFORCEMENT LEARNING

摘要

This disclosure relates to automatic navigation using Deep Reinforcement Learning. A method of training an autonomous vehicle to reach a target location is disclosed. The method includes detecting the state of an autonomous vehicle in a simulated environment and using a neural network to navigate the vehicle from an initial location to a destination location. During the training phase, a second neural network may reward the first neural network for a desired action taken by the autonomous vehicle and penalize the first neural network for an undesired action taken by the autonomous vehicle. A corresponding system and computer program product are also disclosed and claimed herein.