reinforcement Q learning in ROS turtlebot project

I am Currently doing my academic project on deep Q learning, I need help in order to understand some concepts related to reinforcement learning, Deep Q learning, neural network, Hyper parameters etc. also, I need help devloping some python codes. I am using ROS ( Robot operating system) Kinetic on Linux 16.04 LTS. so someone who has already worked will be preffered. I also need help in development of some code which are almost 50% ready. I have also made the hardware where I want to import my weights from neural network. its a Quite interesting project. so any one up for the opportunity? I am ready to pay.

specific requirement / pre knowledge of

1. deep reinforcement learning

2. ROS Gazebo related simulation knowledge.

3. python and machine learning algorithm developments.

4. Who has already worked with Linux and Nvidia Jetson Nano (Jetpack)

5. ROS Kinetic

Habilidades: Arquitetura de software, Linux, Robótica, Machine Learning (ML)

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Acerca do Empregador:
( 0 comentários ) Mumbai, India

ID do Projeto: #28295708

3 freelancers estão ofertando em média ₹10204 nesse trabalho

(31 Comentários)

Hi, I hope you are doing fine. I have almost 10 years of experience in machine learning algorithms. I can implement various types of artificial intelligence algorithms including yours with Matlab, Python, JAVA and etc. Mais

₹7000 INR in 7 dias
(2 Comentários)

Here a ROS software engineer, Well, I have experience not only with Nano board, but also with TX1/2, so, I will help you with the ROS setup. About the DLRL, I've been used Gym(a OpenAI package) to perform DLRL on my pr Mais

₹11111 INR in 5 dias
(1 Comentário)