Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marc Oedingen"'
Publikováno v:
AI, Vol 5, Iss 3, Pp 1066-1094 (2024)
In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve rapidly, it is
Externí odkaz:
https://doaj.org/article/2e9edbd7ae18407381b628b2cafce254
Publikováno v:
Algorithms, Vol 16, Iss 6, p 282 (2023)
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 opaq
Externí odkaz:
https://doaj.org/article/c3859472dfec4fe7af6884c5228d2bac
Publikováno v:
Algorithms; Volume 16; Issue 6; Pages: 282
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 opaq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::71e45ba9ce83e38fc70d1398f8800593