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Diffusion Models
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Reinforcement Learning
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Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design
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Reinforcement Learning within Tree Search for Fast Macro Placement
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Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
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Transferable Chip Placement via Offline Decision Transformer
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Chip Placement with Diffusion
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Macro Placement by Wire-Mask-Guided Black-Box Optimization
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Learning Global Routing via Hub Generation and Pin-hub Connection
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The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design