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- W3192378636 abstract "Imitation Learning algorithms learn a policy from demonstrations of expert behavior. Somewhat counterintuitively, we show that, for deterministic experts, imitation learning can be done by reduction to reinforcement learning, which is commonly considered more difficult. We conduct experiments which confirm that our reduction works well in practice for a continuous control task." @default.
- W3192378636 created "2021-08-16" @default.
- W3192378636 creator A5043239539 @default.
- W3192378636 date "2021-08-10" @default.
- W3192378636 modified "2023-09-27" @default.
- W3192378636 title "Imitation Learning by Reinforcement Learning." @default.
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