2021
Data-Efficient Domain Randomization With Bayesian Optimization
RA-L 2021
When learning policies for robot control, the required real-world data is typically prohibitively expensive to acquire, so learning in simulation is a popular strategy. Unfortunately, such polices are often not transferable to the real world due to a mismatch between the simulation and reality, call