In order to solve the problem of non-ideal training sets (i.e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm based on ...

In this paper, a novel policy iteration adaptive dynamic programming (ADP) algorithm is presented which is called “local policy iteration ADP algorithm” to obtain the optimal control for discrete ...

Unfortunately, robots and AI could also violate justice and fairness. Algorithms for processing large data sets might produce reasonable responses in aggregate, but not for particular individuals. Or ...

Insights from data and machine learning algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent high-profile AI blunders illustrate the damage done when things ...

AI researchers typically formulated probabilistic planning under uncertainty problems using Markov Decision Processes (MDPs).Value Iteration is an inef?cient algorithm for MDPs, because it puts the ...

GCSE Edexcel Algorithms - Edexcel Testing and evaluating an algorithm Algorithms are step-by-step plans for solving problems. Algorithms can be designed using pseudo-code, flowcharts, written ...

🎯 Research Overview This repository contains a world-class research project that applies Transformer neural networks to the problem of metaheuristic algorithm selection in optimization. The project ...

Informational Documents Mathematical model of flocking behavior Boids-algorithm - Pseudocode Research Paper - Craig Reynold's simulation ...