Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alexander I. Cowen-Rivers"'
Autor:
Alexander I. Cowen-Rivers, Wenlong Lyu, Rasul Tutunov, Zhi Wang, Antoine Grosnit, Ryan Rhys Griffiths, Alexandre Max Maraval, Hao Jianye, Jun Wang, Jan Peters, Haitham Bou-Ammar
Publikováno v:
Journal of Artificial Intelligence Research. 74:1269-1349
In this work we rigorously analyse assumptions inherent to black-box optimisation hyper-parameter tuning tasks. Our results on the Bayesmark benchmark indicate that heteroscedasticity and non-stationarity pose significant challenges for black-box opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a97fe53f0c70f1b70dc6e8de08640b0e
https://doi.org/10.1613/jair.1.13643
https://doi.org/10.1613/jair.1.13643
Autor:
Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens, Mohammed Amin Abdullah, Aivar Sootla, Jun Wang, Haitham Bou-Ammar
Publikováno v:
Machine Learning. 111:173-203
In this paper, we propose SAMBA, a novel framework for safe reinforcement learning that combines aspects from probabilistic modelling, information theory, and statistics. Our method builds upon PILCO to enable active exploration using novel(semi-)met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c698c64f06f947b174b6bf355fc68d3
https://doi.org/10.1007/s10994-021-06103-6
https://doi.org/10.1007/s10994-021-06103-6
Autor:
Asif Khan, Alexander I. Cowen-Rivers, Antoine Grosnit, Derrick-Goh-Xin Deik, Philippe A. Robert, Victor Greiff, Eva Smorodina, Puneet Rawat, Rahmad Akbar, Kamil Dreczkowski, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Amos Storkey, Haitham Bou-Ammar
Publikováno v:
Cell Reports Methods. 3:100374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b05b66c34a9da60efb06d45ef8b7f11
https://doi.org/10.1016/j.crmeth.2022.100374
https://doi.org/10.1016/j.crmeth.2022.100374