[eigenvalue]

How well does the training in the simulator transfer over to real world environments? Do the models require fine tuning on real life data, or do they immediately work? I would imagine they would get confused by things like wheel/tracks slipping a bit on the ground versus in the Unreal simulation.

[rozgo]

Traditional simulations don’t translate well. Usually one has to choose a fidelity level; controls, navigation, exploration, mission, etc… We are having more success with models that can tolerate variable dynamics. Simulations don't need to be realistic, only consistent. We then reinforce models with an infinite number of simulation universes and rules, such that reality is just another sample. We don’t have the resources for end-to-end training, and our initial tests did not yield good results. But chaining smaller specific-purpose networks within traditional control and planning systems is looking really good.