Towards More Sample Efficiency in Reinforcement Learning with Data Augmentation

Yijiong Lin, Jiancong Huang, Matthieu Zimmer +2

Deep reinforcement learning (DRL) is a promising approach for adaptive robot control, but its current application to robotics is currently hindered by high sample requirements. We…