2019 Paper Unifies Imitation Learning Methods via Divergence Minimization
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Users praised the 2019 paper unifying imitation learning methods via divergence minimization as awesome and their favorite from that time.
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Shane Gu@shaneguML
It got Best Paper at CoRL. In the paper, we decoupled the KL vs state marginal hypothesis explicitly, and empirically shown that matching state marginal mattered more. Link: https://arxiv.org/abs/1911.02256
GKD (2023) paper by @agarwl_ @OlivierBachem is also great!
Shane Gu@shaneguML
If you are into OPD, check out our 2019 paper "Divergence Minization Perspective on Imitation Learning". I like to use a single formula/table to explain how methods relate each other, from fundamentals.
Or read DAgger (2010) :)
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Yinggan Xu@DibblaX
@shaneguML my favorite paper back in the day 😎
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Maximus Bertius@mamixusbertius
@shaneguML @agarwl_ @OlivierBachem That’s awesome congrats!
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