| Definition | Using domain randomization, we repeatedly randomize the simulation dynamics during training |
| No of environments | 1 |
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 repeatedly randomize the simulation dynamics during training in order to learn a good policy under a wide range of physical parameters.