Optimizing Chip Design with Reinforcement Learning

This chapter explores the intersection of chip design and reinforcement learning, underscoring the collaborative efforts between reinforcement learning experts and chip designers. It delves into the intricacies of chip placement and floor planning, discussing various optimization challenges while highlighting advanced techniques like deep learning. The speakers illuminate how reinforcement learning enhances traditional methods by enabling adaptive decision-making for efficient component placement.

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