Model Based Reinforcement Learning for Autonomous Headland Turns

Kurzbeschreibung

Beschreibung Minimizing non-working time is a major goal for efficient automated agriculture. Much of this time is spent turning in the headland. We want to investigate, if Model Based RL can be used to learn the real vehicle’s model and use this knowledge to quickly optimize the turning behaviour. Voraussetzungen • A Bachelor’s level university degree • Previous Experience with Reinforcement Learning and Mobile Robotics • An Interest in Agricultural Machinery