Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Stojic, Hrvoje"'
Autor:
Picheny, Victor, Berkeley, Joel, Moss, Henry B., Stojic, Hrvoje, Granta, Uri, Ober, Sebastian W., Artemev, Artem, Ghani, Khurram, Goodall, Alexander, Paleyes, Andrei, Vakili, Sattar, Pascual-Diaz, Sergio, Markou, Stratis, Qing, Jixiang, Loka, Nasrulloh R. B. S, Couckuyt, Ivo
We present Trieste, an open-source Python package for Bayesian optimization and active learning benefiting from the scalability and efficiency of TensorFlow. Our library enables the plug-and-play of popular TensorFlow-based models within sequential d
Externí odkaz:
http://arxiv.org/abs/2302.08436
Autor:
McLeod, John, Stojic, Hrvoje, Adam, Vincent, Kim, Dongho, Grau-Moya, Jordi, Vrancx, Peter, Leibfried, Felix
In the past decade, model-free reinforcement learning (RL) has provided solutions to challenging domains such as robotics. Model-based RL shows the prospect of being more sample-efficient than model-free methods in terms of agent-environment interact
Externí odkaz:
http://arxiv.org/abs/2103.14407
A key feature of sequential decision making under uncertainty is a need to balance between exploiting--choosing the best action according to the current knowledge, and exploring--obtaining information about values of other actions. The multi-armed ba
Externí odkaz:
http://arxiv.org/abs/2101.08699
We study a discrete-time Markov process $X_n\in\mathbb{R}^d$, for which the distribution of the future increments depends only on the relative ranking of its components (descending order by value). We endow the process with a rich-get-richer assumpti
Externí odkaz:
http://arxiv.org/abs/1910.01066
In search engines, online marketplaces and other human-computer interfaces large collectives of individuals sequentially interact with numerous alternatives of varying quality. In these contexts, trial and error (exploration) is crucial for uncoverin
Externí odkaz:
http://arxiv.org/abs/1703.10970
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Feb 01. 117(6), 3291-3300.
Externí odkaz:
https://www.jstor.org/stable/26928779
Akademický článek
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Autor:
Bouchouicha, Ranoua, Deer, Lachlan, Eid, Ashraf Galal, McGee, Peter, Schoch, Daniel, Stojic, Hrvoje, Ygosse-Battisti, Jolanda, M. Vieider, Ferdinand
Publikováno v:
Journal of Risk and Uncertainty, 2019 Oct 01. 59(2), 171-184.
Externí odkaz:
https://www.jstor.org/stable/45281824
This project repository contains all the files related to manuscript "Linear integration and lexicographic models of choice: A cue weight learning perspective" by Hrvoje Stojić, Henrik Olsson and Pantelis P. Analytis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5042d06b5e941de44e0fe37c38aa53f