Multi-robot hierarchical safe reinforcement learning autonomous decision-making strategy based on uniformly ultimate boundedness constraints
Abstract Deep reinforcement learning has exhibited exceptional capabilities in a variety of sequential decision-making problems, providing a standardized learning paradigm for the development of intelligent multi-robot systems. Nevertheless, when confronted with dynamic and unstructured environments...
| Published in: | Scientific Reports |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
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| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-89285-6 |
