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Hierarchical Reinforcement Learning with Self-Distillation for Resource Scheduling in Complex Resource Networks

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11043787

Authors: Kexin Zhang, Qing Gao

Institution: Beihang University

Language: English

Topic: Reinforcement Learning in Robotics

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Research and Development

OpenAlex ID: W4411724950

FWCI:

Cites: 21

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Related to: 10