Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Theresa Eimer"'
Autor:
Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
The combination of Reinforcement Learning (RL) with deep learning has led to a series of impressive feats, with many believing (deep) RL provides a path towards generally capable agents. However, the success of RL agents is often highly sensitive to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e62a633259d1ea57d5ea45012f91a0be
Autor:
Steven Adriaensen, André Biedenkapp, Gresa Shala, Noor Awad, Theresa Eimer, Marius Lindauer, Frank Hutter
The performance of an algorithm often critically depends on its parameter configuration. While a variety of automated algorithm configuration methods have been proposed to relieve users from the tedious and error-prone task of manually tuning paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::889239d3ea79c9aee36885bb20071b29
Autor:
André Biedenkapp, Marius Lindauer, Frank Hutter, Theresa Eimer, Steven Adriansen, Maximilian Reimer
Publikováno v:
IJCAI
Dynamic Algorithm Configuration (DAC) aims to dynamically control a target algorithm's hyperparameters in order to improve its performance. Several theoretical and empirical results have demonstrated the benefits of dynamically controlling hyperparam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f6b04957738c3f09bd4d8cea1d8cbf2
https://doi.org/10.24963/ijcai.2021/230
https://doi.org/10.24963/ijcai.2021/230
Publikováno v:
ECAI: Frontiers in Artificial Intelligence and Applications
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::bb9e4fe5640be502365e606eb57b682b