Interactive world simulator for robot policy training and evaluation
产业动态
来源：Robohub发布时间待核实
Imagine you want to teach a robot to push an object on a table. The standard recipe in robot learning is to collect hundreds of expert demonstrations on a real robot, train an imitation learning policy on that data, and then evaluate the policy by running it many times on the same real robot.