RL chip placement learns an implicit reward model from expert trajectories inferred from final layouts, closing the gap to human experts even from a single design.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
How Can Reinforcement Learning Achieve Expert-level Placement?
RL chip placement learns an implicit reward model from expert trajectories inferred from final layouts, closing the gap to human experts even from a single design.