CVPR2020

RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real

Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, Mohi Khansari

摘要

Figure 1. RL-CycleGAN trains a CycleGAN which maps an image from the simulator (left) to a realistic image (middle), a jointly trained RL task ensures that these images are useful for that specific task. At test time, the RL model may be transferred to real robot (right).