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pro vyhledávání: '"Toth, Sébastien"'
Producing agents that can generalize to a wide range of visually different environments is a significant challenge in reinforcement learning. One method for overcoming this issue is visual domain randomization, whereby at the start of each training e
Externí odkaz:
http://arxiv.org/abs/1910.10537
Autor:
Clements, William R., Van Delft, Bastien, Robaglia, Benoît-Marie, Slaoui, Reda Bahi, Toth, Sébastien
Reinforcement learning agents are faced with two types of uncertainty. Epistemic uncertainty stems from limited data and is useful for exploration, whereas aleatoric uncertainty arises from stochastic environments and must be accounted for in risk-se
Externí odkaz:
http://arxiv.org/abs/1905.09638
Publikováno v:
BMJ: British Medical Journal; 12/5/2020, Vol. 371 Issue 8271, p417-417, 1p
Autor:
Toth, Hugo, Abad, Sébastien
Publikováno v:
BMJ: British Medical Journal; 12/5/2020, Vol. 371 Issue 8271, pm4521-m4521, 1p
Autor:
J. Alcamo
As scientists and policymakers try to come to grips with problems such as climate change and risks to biodiversity, they turn more and more frequently to the method of scenario analysis to better understand the future of these problems. Over the last
Autor:
Dominique Perrin, Jean-Éric Pin
Infinite Words is an important theory in both Mathematics and Computer Sciences. Many new developments have been made in the field, encouraged by its application to problems in computer science. Infinite Words is the first manual devoted to this topi