Robotics, Machine Learning, Reinforcement Learning, Deep Learning, Computer Vision.
then sample across the identified parameter sets in RL training. Visual and quantitative inspection showed that if the dynamics parameters are sampled completely at random, most of the behavior is very unrealistic compared to what one would see in the real world. It would then be a waste of