Zobrazeno 1 - 10
of 2 421
pro vyhledávání: '"P. Waltz"'
Autor:
Rawles, Christopher, Clinckemaillie, Sarah, Chang, Yifan, Waltz, Jonathan, Lau, Gabrielle, Fair, Marybeth, Li, Alice, Bishop, William, Li, Wei, Campbell-Ajala, Folawiyo, Toyama, Daniel, Berry, Robert, Tyamagundlu, Divya, Lillicrap, Timothy, Riva, Oriana
Autonomous agents that execute human tasks by controlling computers can enhance human productivity and application accessibility. However, progress in this field will be driven by realistic and reproducible benchmarks. We present AndroidWorld, a full
Externí odkaz:
http://arxiv.org/abs/2405.14573
Urban air mobility is an innovative mode of transportation in which electric vertical takeoff and landing (eVTOL) vehicles operate between nodes called vertiports. We outline a self-organized vertiport arrival system based on deep reinforcement learn
Externí odkaz:
http://arxiv.org/abs/2404.03710
Autor:
Waltz, Nicholas
Economic policy and research rely on the correct evaluation of the billions of high-frequency data points that we collect every day. Consistent clustering algorithms, like DBSCAN, allow us to make sense of the data in a useful way. However, while the
Externí odkaz:
http://arxiv.org/abs/2403.14798
Autor:
Waltz, Nicholas
Despite their performance and widespread use, little is known about the theory of Random Forests. A major unanswered question is whether, or when, the Random Forest algorithm is consistent. The literature explores various variants of the classic Rand
Externí odkaz:
http://arxiv.org/abs/2403.06015
Dynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step architecture for handling DOA tasks by combining supervised and reinforcem
Externí odkaz:
http://arxiv.org/abs/2311.16841
This paper proposes a realistic modularized framework for controlling autonomous surface vehicles (ASVs) on inland waterways (IWs) based on deep reinforcement learning (DRL). The framework improves operational safety and comprises two levels: a high-
Externí odkaz:
http://arxiv.org/abs/2307.16769
Autor:
Taina T. Immonen, Christine M. Fennessey, Leslie Lipkey, Laura Newman, Agatha Macairan, Marjorie Bosche, Nora Waltz, Gregory Q. Del Prete, Jeffrey D. Lifson, Brandon F. Keele
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract The capacity of HIV-1 to replicate during optimal antiretroviral therapy (ART) is challenging to assess directly. To gain greater sensitivity to detect evolution on ART, we used a nonhuman primate (NHP) model providing precise control over t
Externí odkaz:
https://doaj.org/article/a0716cb015224205a4ae6dfb6adb219b
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-12 (2024)
Abstract Meeting the needs of dual-career academic couples has become an important part of university efforts to foster family-friendly workplaces. Many universities have developed formal or informal approaches to addressing dual-career issues, but v
Externí odkaz:
https://doaj.org/article/f7f95f01cf304ef4bebe0a9d31994ad8
Autor:
Waltz, Martin, Okhrin, Ostap
This paper proposes a spatial-temporal recurrent neural network architecture for deep $Q$-networks that can be used to steer an autonomous ship. The network design makes it possible to handle an arbitrary number of surrounding target ships while offe
Externí odkaz:
http://arxiv.org/abs/2211.01004
Autor:
Sara Vicente-Muñoz, James C. Davis, Adam Lane, Andrew N. Lane, Susan E. Waltz, Susanne I. Wells
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
Recurrent and metastatic breast cancer is frequently treatment resistant. A wealth of evidence suggests that reprogrammed lipid metabolism supports cancer recurrence. Overexpression of the RON and DEK oncoproteins in breast cancer is associated with
Externí odkaz:
https://doaj.org/article/d9b37c429677417cb3d8ab66300a2177