Results 91 to 100 of about 786,949 (131)

Brown-von Neumann-Nash Dynamics: The Continuous Strategy Case [PDF]

In John Nash’s proofs for the existence of (Nash) equilibria based on Brouwer’s theorem, an iteration mapping is used. A continuous— time analogue of the same mapping has been studied even earlier by Brown and von Neumann.
Hofbauer, Josef, Oechssler, Jörg, Riedel, Frank   +2 more
core  

A Numerical Analysis of the Evolutionary Stability of Learning Rules [PDF]

In this paper I define an evolutionary stability criterion for learning rules. Using Monte Carlo simulations, I then apply this criterion to a class of learning rules that can be represented by Camerer and Ho's (1999) model of learning.
Josephson, Jens
core  

When does determinacy imply expectational stability? [PDF]

In the recent literature on monetary and fiscal policy design, adoption of policies that induce both determinacy and learnability of equilibrium has been considered fundamental to economic stabilization.
James B. Bullard, Stefano Eusepi
core  

IMPLEMENTATION, ELIMINATION OF WEAKLY DOMINATED STRATEGIES AND EVOLUTIONARY DYNAMICS [PDF]

This paper studies convergence and stability properties of Sjöström's (1994) mechanism, under the assumption that boundedly rational players find their way to equilibrium using monotonic learning dynamics and best-reply dynamics.
Antonio Cabrales, Giovanni Ponti
core  

Quantum machine learning for Lyapunov-stabilized computation offloading in next-generation MEC networks

Scientific Reports
Quantum computing and machine learning convergence enable powerful new approaches for optimizing mobile edge computing (MEC) networks. This paper uses Lyapunov optimization theory to propose a novel quantum machine learning framework for stabilizing ...
Vandana Rani Verma, Dinesh Kumar Nishad, Vishnu Sharma, Vinay Kumar Singh, Anshul Verma, Dharti Raj Shah   +5 more
doaj   +1 more source

Quantum neural networks based Lyapunov stability and adaptive learning rates for identification of nonlinear systems

Ain Shams Engineering Journal
This paper presents an identification model based on quantum neural network for engineering systems. Quantum neural network (QNN) is a superior strategy to improve the computational efficiency for conventional neural network structures due to their ...
Hossam Khalil, Osama Elshazly, Abdullah Baihan, Walid El-Shafai, Omar Shaheen   +4 more
doaj  

Stability of spectral learning algorithms [PDF]

, 2014
openaire   +1 more source

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

Generative Adversarial Imitation Learning (GAIL) trains a generative policy to mimic a demonstrator. It uses on-policy Reinforcement Learning (RL) to optimize a reward signal derived from a GAN-like discriminator. A major drawback of GAIL is its training instability - it inherits the complex training dynamics of GANs, and the distribution shift ...
Luo, Tianjiao, Pearce, Tim, Chen, Huayu, Chen, Jianfei, Zhu, Jun   +4 more
openaire   +1 more source

Predictive modeling of critical temperatures in magnesium compounds using transfer learning

Journal of Magnesium and Alloys
This study presents a transfer learning approach for discovering potential Mg-based superconductors utilizing a comprehensive target dataset. Initially, a large source dataset (Bandgap dataset) comprising approximately ∼75k compounds is utilized for ...
Surjeet Kumar, Russlan Jaafreh, Subhajit Dutta, Jung Hyeon Yoo, Santiago Pereznieto, Kotiba Hamad, Dae Ho Yoon   +6 more
doaj  

A NOTE ON STABILITY OF ERROR BOUNDS IN STATISTICAL LEARNING THEORY [PDF]

Analysis and Applications, 2011
We consider a wide class of error bounds developed in the context of statistical learning theory which are expressed in terms of functionals of the regression function, for instance, its norm in a reproducing kernel Hilbert space or other functional space.
Ming Li, Andrea Caponnetto
openalex   +2 more sources