Matlab ReInforcement Learning

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Implement Q-learning for grid world problem in Matlab. Given a grid world with n X n size, let user input the starting position, target, find the short path thorough learning. The inclusion of obstacles in the problem-solving can earn extra credit.

Matlab and Mathematica Algoritme Elektrisk Ingeniørarbejde Matematik PHP

Projekt ID: #23913585

Om projektet

6 bud Remote projekt Aktiv 4 år siden

6 freelancere byder i gennemsnit $37 timen for dette job

assignsolver

I will do your MATLAB REINFORCEMENT LEARNING work. I have read and understood all your initial requirements, and I feel, I would be the best choice for this project, I have more than 10 years of working experience in t Flere

$10 USD på 1 dag
(8 bedømmelser)
3.7
cnewton20

I am very much interested with the content of your task because your post content matches well with my professional area. I am an expert in scientific research, Mathematics,Control System Design, Matlab programming, El Flere

$150 USD in 3 dage
(7 bedømmelser)
3.3
vikram2web

hi there. I am familiar with Q-learning using Matlab. You can view my portfolio for sample work. let get into the chat when you are available. thanks

$10 USD på 1 dag
(3 bedømmelser)
2.4
khanjzthanjzt

Greetings, I have read the project description and understand the nature of work. Design Engineer is here to help you. Allow me to complete the work. Best Regards Sample Work https://www.freelancer.com/projects/engin Flere

$20 USD in 7 dage
(4 bedømmelser)
2.2
IdealExpert

I am expert in matlab.I am a highly skilled and professional writer with 6 years of experience in this industry. I have achieved 100% satisfaction level of my clients by providing them top-notch work. I will complete y Flere

$10 USD på 1 dag
(1 bedømmelse)
1.3
bazalmuqtadir786

Do not worry, you have come to the right place. I am an Electrical Engineer with 4+ years of MATLAB programming experience. I can help you get done ANY task relating to ? System modelling ? Data Analysis and Visuali Flere

$20 USD på 1 dag
(0 bedømmelser)
0.0