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Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
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reinforcement learningRTL generationmulti-objective optimizationlarge language models
2610.26904
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2h ago80%
Abstract
The paper presents a novel method for generating diverse Pareto-optimal RTL circuits using multi-objective reinforcement learning with large language models.
Reality Card
Core Claim
The proposed method achieves a +13.3 percentage points improvement in relative Hypervolume over a baseline without PPA optimization, enhancing both circuit quality and diversity.
Method / Result
+14.4 percentage points improvement over a single-objective reinforcement learning method in circuit diversity.
Limitations
The paper does not specify the authors or provide detailed reproducibility metrics.
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