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In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling
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| Published in: | Discover AI |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| _version_ | 1864030190555889669 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover AI |
| description | |
| discipline_display | Engineering & Technology |
| discipline_facet | Engineering & Technology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:7845 |
| institution | FRELIP |
| journal_source_facet | Discover AI |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| sub_discipline_display | Computer Science & IT |
| sub_discipline_facet | Computer Science & IT |
| subject_display | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| subject_facet | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| title | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| title_auth | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| title_full | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| title_fullStr | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| title_full_unstemmed | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| title_short | In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| title_sort | in-station uav path planning based on multi-agent reinforcement learning and dynamic environment modeling |
| topic | Artificial Intelligence & Machine Learning Computer Science & IT Engineering & Technology |
| url | https://link.springer.com/article/10.1007/s44163-026-00882-4 |