Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara
Topics & Concepts
Computer scienceReinforcement learningDistillationSample (material)RandomizationDomain (mathematical analysis)Sample complexityArtificial intelligenceMachine learningRandomized controlled trialMathematicsChromatographySurgeryChemistryMathematical analysisMedicineReinforcement Learning in RoboticsRobot Manipulation and LearningFuel Cells and Related Materials