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Deep Reinforcement Learning

Practical AI

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Transitioning to GPU: Accelerating Deep Reinforcement Learning

This chapter explores the transition from CPU to GPU computing in deep reinforcement learning, highlighting the impact of the NVIDIA DGX1 supercomputer on their experimental work. The speakers share insights on the challenges and learning curves associated with optimizing deep learning libraries for multi-GPU setups.

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