Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
Abstract: Fine-tuning large language models (LLMs) for domain specific tasks is often an expensive resource intensive procedure requiring large computing and memory ...
This repository contains MATLAB codes for solving Linear Quadratic Regulator (LQR) problems using model-free Reinforcement Learning (RL) techniques. It includes methods such as Policy Iteration, Value ...
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