Deep Reinforcement Learning in Robotics with NVIDIA Jetson
Discover the creation of autonomous reinforcement learning agents for robotics in this NVIDIA Jetson webinar. Learn about modern approaches in deep reinforcement learning for implementing flexible tasks and behaviors like pick-and-place and path planning in robots.
During the webinar replay you will learn how to use an NVIDIA Jetson TX2 and JetPack for seamless deployment throughout the reinforcement learning workflow built on a portable, open-source AI software stack.
By watching this webinar replay, you'll learn:
- Modern approaches in deep reinforcement learning for implementing flexible tasks and behaviors like pick-and-place and path planning in robots
- Deep reinforcement algorithm verification in PyTorch and 2D environments in the OpenAI Gym
- Leveraging online transfer learning to transition to real-world platforms
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Presented By
Dustin Franklin
Jetson Developer Evangelist, NVIDIA
A renowned GPGPU developer and systems architect, Dustin Franklin works to deploy CUDA-accelerated embedded applications and solve challenging sensor processing problems on Jetson, NVIDIA’s low-power, high-performance embedded platform. Dustin and his team utilize the parallel compute horsepower of NVIDIA GPUs for real-time computer vision, autonomous navigation, and other toolsets, to enable new product categories and industries.
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