Youngeun Kwon

Youngeun Kwon is a senior software engineer in the NVIDIA Deep Learning Compute Architecture Group. He focuses on optimizing deep learning performance, primarily on accelerating reinforcement learning post-training. He earned a PhD in Electrical Engineering from KAIST, with doctoral research focused on computer architecture for deep learning applications.
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Posts by Youngeun Kwon

Agentic AI / Generative AI Nov 06, 2026

Accelerating Reinforcement Learning Weight Refit with the Reshard Collective

During reinforcement learning (RL) post-training, training trajectories are generated on the fly by running inference with the current policy model. For... 11 MIN READ