Deep Learning with Yacine on MSN

Group Relative Policy Optimization (GRPO) Explained – Formula and PyTorch Implementation

Discover how Group Relative Policy Optimization (GRPO) works with a clear breakdown of the core formula and working Python ...
IEEE

A Survey on Evolutionary Constrained Multiobjective Optimization

Abstract: Handling constrained multiobjective optimization problems (CMOPs) is extremely challenging, since multiple conflicting objectives subject to various constraints require to be simultaneously ...
IEEE

Quantum Annealing-Inspired Optimization for Space–Time Coding Metasurface

Abstract: Space–time coding metasurfaces introduce a new degree of freedom (DOF) in the temporal domain, enabling advanced manipulation of electromagnetic (EM) waves, particularly in controlling waves ...
GitHub

ParMOO: Python library for parallel multiobjective simulation optimization

ParMOO is a parallel multiobjective optimization solver that seeks to exploit simulation-based structure in objective and constraint functions. To solve a multiobjective optimization problem (MOOP), ...