Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization

Research article (Robotics and Autonomous Systems, 2023) · cited 16× · AI/ML
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Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization

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Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization. Retrieved May 24, 2026, from https://4ort.xyz/entity/cyclic-policy-distillation-sample-efficient-sim-to-real-reinforcement-learning-with-domain-randomization
MLA “Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/cyclic-policy-distillation-sample-efficient-sim-to-real-reinforcement-learning-with-domain-randomization.
BibTeX @misc{4ortxyz_cyclic-policy-distillation-sample-efficient-sim-to-real-reinforcement-learning-with-domain-randomization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Cyclic policy distillation: Sample-efficient sim-to-real reinforcement learning with domain randomization}}, year = {2026}, url = {https://4ort.xyz/entity/cyclic-policy-distillation-sample-efficient-sim-to-real-reinforcement-learning-with-domain-randomization}, note = {Accessed: 2026-05-24}}
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