Path Learning with Trajectory Advantage Regression
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866912446661263360 |
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| author | Miyaguchi, Kohei |
| author_facet | Miyaguchi, Kohei |
| contents | In this paper, we propose trajectory advantage regression, a method of offline path learning and path attribution based on reinforcement learning. The proposed method can be used to solve path optimization problems while algorithmically only solving a regression problem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_19375 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Path Learning with Trajectory Advantage Regression Miyaguchi, Kohei Machine Learning In this paper, we propose trajectory advantage regression, a method of offline path learning and path attribution based on reinforcement learning. The proposed method can be used to solve path optimization problems while algorithmically only solving a regression problem. |
| title | Path Learning with Trajectory Advantage Regression |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2506.19375 |