Iterative Oblique Decision Trees Deliver Explainable RL Models
The demand for explainable and transparent models increases with the continued success of reinforcement learning. In this article, we explore the potential of generating shallow decision trees (DTs) as simple and transparent surrogate models for opaque deep reinforcement learning (DRL) agents. We in...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2023-05-01
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| Series: | Algorithms |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/1999-4893/16/6/282 |
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