Zobrazeno 1 - 10
of 1 236
pro vyhledávání: '"P Tieleman"'
Autor:
I M Brus, A S J Teng, S C M Heemskerk, S Polinder, P Tieleman, E Hartman, B Dollekens, J A Haagsma, I Spronk
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0302573 (2024)
ObjectiveTo determine work participation, social roles, and empowerment of QFS patients ≥10-year after infection.MethodsQFS patients ≥10-year after acute infection, who were of working age, participated in a cross-sectional survey study. Work par
Externí odkaz:
https://doaj.org/article/211894eef84a45cb88d7f4e7acb34250
Autor:
Boettner, C., Dayal, P., Trebitsch, M., Libeskind, N., Rice, K., Cockell, C., Tieleman, B. I.
Publikováno v:
A&A 686, A167 (2024)
Stellar populations and their distribution differ widely across the Galaxy, which is likely to affect planet demographics. Our local neighbourhood is dominated by young, metal-rich stars in the galactic thin disc, while the stellar halo and galactic
Externí odkaz:
http://arxiv.org/abs/2402.08029
Autor:
Humphreys, Peter C., Guez, Arthur, Tieleman, Olivier, Sifre, Laurent, Weber, Théophane, Lillicrap, Timothy
Effective decision making involves flexibly relating past experiences and relevant contextual information to a novel situation. In deep reinforcement learning (RL), the dominant paradigm is for an agent to amortise information that helps decision mak
Externí odkaz:
http://arxiv.org/abs/2206.05314
Autor:
Clark, Stephen, Lerchner, Alexander, von Glehn, Tamara, Tieleman, Olivier, Tanburn, Richard, Dashevskiy, Misha, Bosnjak, Matko
The notion of concept has been studied for centuries, by philosophers, linguists, cognitive scientists, and researchers in artificial intelligence (Margolis & Laurence, 1999). There is a large literature on formal, mathematical models of concepts, in
Externí odkaz:
http://arxiv.org/abs/2101.05125
Autor:
Hill, Felix, Tieleman, Olivier, von Glehn, Tamara, Wong, Nathaniel, Merzic, Hamza, Clark, Stephen
Recent work has shown that large text-based neural language models, trained with conventional supervised learning objectives, acquire a surprising propensity for few- and one-shot learning. Here, we show that an embodied agent situated in a simulated
Externí odkaz:
http://arxiv.org/abs/2009.01719
Computational determination of the equilibrium state of heterogeneous phospholipid mem-branes is a significant challenge. We wish to explore the rich phase diagram of these multi-component systems. However, the diffusion and mixing times in membranes
Externí odkaz:
http://arxiv.org/abs/2005.08348
We present a method for combining multi-agent communication and traditional data-driven approaches to natural language learning, with an end goal of teaching agents to communicate with humans in natural language. Our starting point is a language mode
Externí odkaz:
http://arxiv.org/abs/2005.07064
Autor:
Badia, Adrià Puigdomènech, Sprechmann, Pablo, Vitvitskyi, Alex, Guo, Daniel, Piot, Bilal, Kapturowski, Steven, Tieleman, Olivier, Arjovsky, Martín, Pritzel, Alexander, Bolt, Andew, Blundell, Charles
We propose a reinforcement learning agent to solve hard exploration games by learning a range of directed exploratory policies. We construct an episodic memory-based intrinsic reward using k-nearest neighbors over the agent's recent experience to tra
Externí odkaz:
http://arxiv.org/abs/2002.06038
Motivated by theories of language and communication that explain why communities with large numbers of speakers have, on average, simpler languages with more regularity, we cast the representation learning problem in terms of learning to communicate.
Externí odkaz:
http://arxiv.org/abs/1912.06208
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