IsaacGymEnvs supports "on the fly" domain randomization, allowing dynamics to be changed when resetting the environment, but without requiring reloading of assets. This allows us to efficiently apply ...

We sometimes need our reinforcement learning agents to be robust to different physics than they are trained with, such as when attempting a sim2real policy transfer. Using domain randomization, we ...