Scaling Reinforcement Learning
Azalia explains how scaling down to smaller spaces impacted their approach, emphasizing the significant increase in complexity in the action space and input state. The team's focus on representation learning and creating generalized agents for chip design optimization sets the stage for future advancements in combinatorial optimization problems.In this clip
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Practical AI
Reinforcement learning for chip design
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