Results 71 to 80 of about 5,721,941 (348)
Quantum generative adversarial imitation learning
New Journal of Physics, 2023 Investigating quantum advantage in the NISQ era is a challenging problem whereas quantum machine learning becomes the most promising application that can be resorted to.
Tailong Xiao +4 more
doaj +1 more source
Causal Confusion in Imitation Learning [PDF]
, 2019 Behavioral cloning reduces policy learning to supervised learning by training a discriminative model to predict expert actions given observations. Such discriminative models are non-causal: the training procedure is unaware of the causal structure of the
de Haan, Pim +2 more
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Development of a causal model of self-regulated learning by students at Loei Rajabhat University
Frontiers in EducationIntroductionSelf-regulated learning is an active process in which learners employ self-directed behaviors, thoughts, and actions to attain learning objectives.
Anuphum Kumyoung +4 more
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Predictability of imitative learning trajectories [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2019 The fitness landscape metaphor plays a central role on the modeling of optimizing principles in many research fields, ranging from evolutionary biology, where it was first introduced, to management research. Here we consider the ensemble of trajectories of the imitative learning search, in which agents exchange information on their fitness and imitate ...
Campos, Paulo R. A., Fontanari, José F.
openaire +3 more sources
Arthritis Care &Research, EarlyView.This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah +5 more
wiley +1 more source
Proper Imitation, a Prerequisite for Creativity Imitative Learning in Architectural Education (Design Process) [PDF]
صفه, 2017 According to general opinion, “imitation” is considered as the opposite of “creativity”. In architectural design, which is based on creativity, the same perspective is, likewise, prevalent to some degree.
Vahid Sadram
doaj
, 2018 This paper proposes Self-Imitation Learning (SIL), a simple off-policy actor-critic algorithm that learns to reproduce the agent's past good decisions. This algorithm is designed to verify our hypothesis that exploiting past good experiences can indirectly drive deep exploration.
Oh, Junhyuk +3 more
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Arthritis Care &Research, Accepted Article.Objective This study aimed to characterize the pharmacokinetics, pharmacodynamics, safety, and exploratory efficacy of subcutaneous belimumab in pediatric patients with active systemic lupus erythematosus (SLE) receiving standard therapy. Methods This single‐arm, multicenter, open‐label trial (GSK study 200908; NCT04179032) used three‐weight‐band ...
Hermine I. Brunner +14 more
wiley +1 more source
CAAI Transactions on Intelligence TechnologyA comparative study of two force perception skill learning approaches for robot‐assisted spinal surgery, the impedance model method and the imitation learning (IL) method, is presented.
Meng Li +6 more
doaj +1 more source