Results 21 to 30 of about 1,160,351 (242)
BuildingsThe interface of fresh-aged concrete represents a critical vulnerability within monolithic assembled monolithic concrete structures. In this paper, the shear performance of the interface between post-cast epoxy resin concrete and standard concrete is ...
Peiqi Chen +3 more
doaj +1 more source
Virtual to Real Reinforcement Learning for Autonomous Driving
, 2017 Reinforcement learning is considered as a promising direction for driving policy learning. However, training autonomous driving vehicle with reinforcement learning in real environment involves non-affordable trial-and-error. It is more desirable to first
Lu, Cewu +3 more
core +1 more source
Towards Continual Reinforcement Learning through Evolutionary Meta-Learning [PDF]
, 2019 In continual learning, an agent is exposed to a changing environment, requiring it to adapt during execution time. While traditional reinforcement learning (RL) methods have shown impressive results in various domains, there has been less progress in ...
Grbic, Djordje, Risi, Sebastian
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BuildingsPrecast concrete structures are popular in the building industry because of their high efficiency and environmental friendliness. In this paper, the U-type reinforcement ferrule connection technique was applied to study the seismic performance of precast
Peiqi Chen +4 more
doaj +1 more source
Atari games and Intel processors
, 2017 The asynchronous nature of the state-of-the-art reinforcement learning algorithms such as the Asynchronous Advantage Actor-Critic algorithm, makes them exceptionally suitable for CPU computations.
Adamski, Robert +3 more
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Tensile force and bond stress of longitudinal reinforcemenet in heavily reinforced concrete beam [PDF]
, 2011 This dissertation presents an experimental study related to the tensile force and bond stress of longitudinal reinforcement in heavily reinforced concrete beam. The test variables in this study include the ratio of longitudinal and shear reinforcement.
Imran, Nik Farhanim
core
Selection in Scale-Free Small World
, 2005 In this paper we compare the performance characteristics of our selection based learning algorithm for Web crawlers with the characteristics of the reinforcement learning algorithm. The task of the crawlers is to find new information on the Web.
Farkas, Cs., Lorincz, A., Palotai, Zs.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács +8 more
wiley +1 more source
Humanities & Social Sciences CommunicationsA digital health intervention (DHI) using SMS precision nudging to drive RSV vaccine uptake among adults over 60 was launched with a large community pharmacy chain in 2023, two months after the vaccine’s FDA approval for adult administration in the ...
E. Susanne Blazek +5 more
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Frontiers in Artificial Intelligence, 2022 Within computational reinforcement learning, a growing body of work seeks to express an agent's knowledge of its world through large collections of predictions.
Alex Kearney +5 more
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