Assessing Transferability from Simulation to Reality for Reinforcement Learning

Fabio Muratore, Michael Gienger, Jan Peters

Learning robot control policies from physics simulations is of great interest to the robotics community as it may render the learning process faster, cheaper, and safer by alleviat…