Zobrazeno 1 - 10
of 2 924
pro vyhledávání: '"Thomas, Philip A."'
Autor:
Welte, Stephan, Thomas, Philip, Hartung, Lukas, Daiss, Severin, Langenfeld, Stefan, Morin, Olivier, Rempe, Gerhard, Distante, Emanuele
Publikováno v:
Nat. Photon. 15, 504-509 (2021)
One of the most fascinating aspects of quantum networks is their capability to distribute entanglement as a nonlocal communication resource. In a first step, this requires network-ready devices that can generate and store entangled states. Another cr
Externí odkaz:
http://arxiv.org/abs/2409.00871
Novel reinforcement learning algorithms, or improvements on existing ones, are commonly justified by evaluating their performance on benchmark environments and are compared to an ever-changing set of standard algorithms. However, despite numerous cal
Externí odkaz:
http://arxiv.org/abs/2406.16241
We present ICU-Sepsis, an environment that can be used in benchmarks for evaluating reinforcement learning (RL) algorithms. Sepsis management is a complex task that has been an important topic in applied RL research in recent years. Therefore, MDPs t
Externí odkaz:
http://arxiv.org/abs/2406.05646
Publikováno v:
Nature 629, 567-572 (2024)
Entanglement has evolved from an enigmatic concept of quantum physics to a key ingredient of quantum technology. It explains correlations between measurement outcomes that contradict classical physics, and has been widely explored with small sets of
Externí odkaz:
http://arxiv.org/abs/2403.11950
Autor:
Gupta, Dhawal, Jordan, Scott M., Chaudhari, Shreyas, Liu, Bo, Thomas, Philip S., da Silva, Bruno Castro
In this paper, we introduce a fresh perspective on the challenges of credit assignment and policy evaluation. First, we delve into the nuances of eligibility traces and explore instances where their updates may result in unexpected credit assignment
Externí odkaz:
http://arxiv.org/abs/2312.12972
Designing reward functions for efficiently guiding reinforcement learning (RL) agents toward specific behaviors is a complex task. This is challenging since it requires the identification of reward structures that are not sparse and that avoid inadve
Externí odkaz:
http://arxiv.org/abs/2310.19007
Representation learning is increasingly employed to generate representations that are predictive across multiple downstream tasks. The development of representation learning algorithms that provide strong fairness guarantees is thus important because
Externí odkaz:
http://arxiv.org/abs/2310.15358
Autor:
Felix Peuker, Thomas Philip Bosch, Roderick Marijn Houwert, Ruben Joost Hoepelman, Menco Johannes Sophius Niemeyer, Mark van Baal, Fabrizio Minervini, Frank Johannes Paulus Beeres, Bryan Joost Marinus van de Wall
Publikováno v:
Journal of Chest Surgery, Vol 57, Iss 5, Pp 430-439 (2024)
Background: This study investigated the incidence and clinical consequences of abnormal radiological and clinical findings during routinely performed 6-week outpatient visits in patients treated conservatively for multiple (3 or more) rib fractures
Externí odkaz:
https://doaj.org/article/e88a8036d7b74a91a66d5cfd83268dd6
Autor:
Thomas, Philip A., Tan, Wai Jue, Kravets, Vasyl G., Grigorenko, Alexander N., Barnes, William L.
Publikováno v:
Adv. Mater. 2023, 2309393
Strong coupling of molecules to vacuum fields has been widely reported to lead to modified chemical properties such as reaction rates. However, some recent attempts to reproduce infrared strong coupling results have not been successful, suggesting th
Externí odkaz:
http://arxiv.org/abs/2306.05506