Implementation of Q-Learning Algorithm for cognitive radio according to the reference paper

Hello, good time Hope you are doing well I'm expert in MATLAB/Simulink, Python, JavaScript and C++ programming and by strong mathematical and statistical background, have good flexibility for solve your project. I have many experience practical and theoretical in implementation different algorithms (such as: state estimation and Kalman filter, design controller, analysis closed loop stability, signal and systems, signal processing, heuristic optimization, fuzzy logic, neural network and machine/deep learning fields). Evidence of this claim exist in the portfolio. I have read your project description and I can help you (without any plagiarism). Please send me the details of your project. Thanks for attention 100% Jobs Completed, 100% On Budget, 100% On Time

HELLO DEAR CLIENT I have gone through your project details, having all the required skills and VAST EXPERIENCE.I confirm to you that the project is doable since its within my area of EXPERTISE i.e Python (ML, DS, AI,NLP, Web(Flask), API Dev), R, Android(Java, Kotlin), Database (Mysql, PostgreSQL, Ms Access), C/C++,C#, Java, JavaScript, HTML and CSS (Tailwindcss) e.tc. Timely and Good work is 100% guaranteed. I present my bid to you and thanks in advance as you consider me

My graduation project was Machine Learning-based Solutions for Spectrum Sensing and Resource Allocation in Cognitive Radio using Matlab and was like this so I can help you

I have implemented complex reinforcement learning algorithms such as Rainbow DQN and PPO. Implementing Q-learning should not be a problem. I have skimmed through the paper and everything seems quite well-explained so technically this should not be too hard.