Robotics, Machine Learning, Reinforcement Learning, Deep Learning, Computer Vision.
is that the range of attribute values that the model has encountered and learned to act on in simulation will include the attribute values of the real environment. In this blog post, we will explore how domain randomization was used to address the challenges of aligning the simulated and real