Robotics, Machine Learning, Reinforcement Learning, Deep Learning, Computer Vision.
real-world environments. The basic idea behind domain randomization is that by periodically randomizing aspects of the environment, the model can learn to account for a range of different attribute values rather than just one version of the environment. In the context of Sim2Real transfer, the hope