SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces Michael Laskey1 , Sam Staszak1 , Wesley Yu-Shu Hsieh1 , Jeffrey Mahler1 , Flori

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Date: 2016-02-18 10:52:35 Machine learning Artificial intelligence Statistics Learning Statistical classification Support vector machine Apprenticeship learning Artificial neural network Loss function Motion planning Reinforcement learning Robotics		SHIV: Reducing Supervisor Burden in DAgger using Support Vectors for Efficient Learning from Demonstrations in High Dimensional State Spaces Michael Laskey1 , Sam Staszak1 , Wesley Yu-Shu Hsieh1 , Jeffrey Mahler1 , Flori Add to Reading List Source URL: goldberg.berkeley.edu Download Document from Source Website File Size: 1,20 MB Share Document on Facebook

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