SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu,Feng Xu,Zhanpeng He,Abhi Gupta,Peter K. Allen,Bohan Wu,Feng Xu,Zhanpeng He,Abhi Gupta,Peter K. Allen
Recent advances in deep reinforcement learning (RL) have demonstrated its potential to learn complex robotic manipulation tasks. However, RL still requires the robot to collect a large amount of real-world experience. To address this problem, recent works have proposed learning from expert demonstrations (LfD), particularly via inverse reinforcement learning (IRL), given its ability to achieve rob...
