24 citations · 27 across the 2 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.RO2019
Learning to Explore in Motion and Interaction Tasks
Miroslav Bogdanovic, Ludovic Righetti
Model free reinforcement learning suffers from the high sampling complexity inherent to robotic manipulation or locomotion tasks. Most successful approaches typically use random sa…
cs.RO2019
Learning Variable Impedance Control for Contact Sensitive Tasks
Miroslav Bogdanovic, Majid Khadiv, Ludovic Righetti
Reinforcement learning algorithms have shown great success in solving different problems ranging from playing video games to robotics. However, they struggle to solve delicate robo…