2 papers
cs.RO2020
Robot Playing Kendama with Model-Based and Model-Free Reinforcement Learning
Shidi Li
Several model-based and model-free methods have been proposed for the robot trajectory learning task. Both approaches have their benefits and drawbacks. They can usually complement…
cs.RO2018
Smooth and Efficient Policy Exploration for Robot Trajectory Learning
Shidi Li, Chee-Meng Chew, Velusamy Subramaniam
Many policy search algorithms have been proposed for robot learning and proved to be practical in real robot applications. However, there are still hyperparameters in the algorithm…