Inquire about the feasibility of building a reinforced learning model on the Nvidia Xavier AGX platform

Robotics & Edge Computing Jetson & Embedded Systems Jetson AGX Xavier
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I’ve been developing custom AI detection models for my capstone based on those showcased on your Nvidia YouTube channel. Using your tutorials as a guide, I’ve gained valuable experience in this area.

I’m writing to inquire about the feasibility of building a reinforced learning model on the Nvidia Xavier AGX platform. My goal is to develop a model that can adapt and learn to recognize different variations of Lego piles, specifically those constructed solely of red 2x2 Lego bricks.

Based on my initial research, I believe Deep Q-Networks might offer a suitable framework for this application on Nvidia platforms.

Could you please provide guidance on whether this approach is viable? I would greatly appreciate any insights or resources you can offer to support my exploration of this project.

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Hi,

Please check if the below tutorial can meet your requirements.

Thanks.

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