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"Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement ..."

Yuki Kadokawa et al. (2022)

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DOI: 10.48550/ARXIV.2207.14561

access: open

type: Informal or Other Publication

metadata version: 2022-08-02

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  - journals/corr/abs-2207-14561
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  - https://dblp.org/rec/journals/corr/abs-2207-14561
Yuki Kadokawa, Lingwei Zhu, Yoshihisa Tsurumine, Takamitsu Matsubara:
Cyclic Policy Distillation: Sample-Efficient Sim-to-Real Reinforcement Learning with Domain Randomization. CoRR abs/2207.14561 (2022)

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