Leveraging Forward Model Prediction Error for Learning Control
Sarah Bechtle Bilal Hammoud Akshara Rai Franziska Meier Ludovic Righetti Sarah Bechtle Bilal Hammoud Akshara Rai Franziska Meier Ludovic Righetti
Learning for model based control can be sample-efficient and generalize well, however successfully learning models and controllers that represent the problem at hand can be challenging for complex tasks. Using inaccurate models for learning can lead to sub-optimal solutions that are unlikely to perform well in practice. In this work, we present a learning approach which iterates between model lear...