Results 61 to 70 of about 527,249 (162)
Natural Gradient Deep Q-learning
, 2018 We present a novel algorithm to train a deep Q-learning agent using natural-gradient techniques. We compare the original deep Q-network (DQN) algorithm to its natural-gradient counterpart, which we refer to as NGDQN, on a collection of classic control domains.
Knight, Ethan, Lerner, Osher
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Optimization of natural frequency of laminated composite rudder
Zhongguo Jianchuan Yanjiu, 2018 [Objectives] A rudder structure will inevitably vibrate while a ship is at sea. This is why it is necessary to make the first order natural frequency and working frequency of a rudder staggered through reasonable design.[Methods] This paper discusses the
WU Jiatong, SHI Min, REN Chunyu
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Natural gradient enables fast sampling in spiking neural networks. [PDF]
Adv Neural Inf Process Syst, 2022 Masset P +4 more
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Neural-NGBoost: Natural gradient boosting with neural network base learners
ICT ExpressNGBoost has shown promising results in probabilistic and point estimation tasks. However, it is vague still whether this method can be scalable to neural architecture system since its base learner is based on decision trees.
Jamshidjon Ganiev +2 more
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Free Vibration Behavior of a Gradient Elastic Beam with Varying Cross Section
Shock and Vibration, 2014 Based on strain gradient elasticity theory, a finite element procedure is proposed for computation of natural frequencies for the microbeams of constant width and linear varying depth.
Mustafa Özgür Yayli
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An optical flow based left-invariant metric for natural gradient descent in affine image registration. [PDF]
Front Appl Math Stat, 2021 Tward D.
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Transients and Asymptotics of Natural Gradient Learning [PDF]
, 1998 We analyse natural gradient learning in a two-layer feed-forward neural network using a statistical mechanics framework which is appropriate for large input dimension. We find significant improvement over standard gradient descent in both the transient and asymptotic phases of learning.
Rattray, Magnus, Saad, David
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Natural Gradient Flow in the Mixture Geometry of a Discrete Exponential Family
Entropy, 2015 In this paper, we study Amari’s natural gradient flows of real functions defined on the densities belonging to an exponential family on a finite sample space.
Luigi Malagò, Giovanni Pistone
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MA Cation-Induced Diffusional Growth of Low-Bandgap FA-Cs Perovskites Driven by Natural Gradient Annealing. [PDF]
Research (Wash D C), 2021 Zhang T +9 more
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The Variational Predictive Natural Gradient
, 2019 Variational inference transforms posterior inference into parametric optimization thereby enabling the use of latent variable models where otherwise impractical. However, variational inference can be finicky when different variational parameters control variables that are strongly correlated under the model.
Tang, Da, Ranganath, Rajesh
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