Depends on the accuracy of the simulation similar to the error that can be made in measurement of natural phenomena. I don't have the relevant domain knowledge

Depends on the accuracy of the simulation similar to the error that can be made in measurement of natural phenomena. I don't have the relevant domain knowledge to assess this particular simulation however. Reinforcement learning, for instance, is almost entirely trained on simulated environments such as the state-space of a board game or even the full set of pixels displayed by a video game. Robotics makes use of this to e.g. teach a robotic dog how to walk in a rigid body simulation. The success of the knowledge learned being useful in the real world depends on the accuracy of the simulation and the breadth of the agent's search over the simulation's state space.