Home /Research /Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots
LOCOMOTION

Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots

Akshara Rai, Rika Antonova, Franziska Meier, Christopher G. Atkeson

Year
2019
Citations
16

Abstract

Learning for control can acquire controllers for novel robotic tasks, paving the path for autonomous agents. Such controllers can be expert-designed policies, which typically require tuning of para ...

Keywords

Bayesian optimizationBayesian probabilitySample (material)Computer scienceArtificial intelligenceRobotMachine learningChemistryChromatography

Related papers

Browse all LOCOMOTION papers