Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
arXiv 2610.26904v1•a371d88cf54a70101d1a8ac24317260fcec5163484c3f10b713fa1306c741efd
Paper metadata
- arXiv ID
- 2610.26904
- Version
- v1
- Category
- cs.AI
- Authors
- Koki Takeshita, Kenji Uebayashi, Hikaru Tomonari, Masaya Tsunokake, Koichiro Yawata, Tatsuya Sasaki, Yusuke Ohtsubo, Kota Dohi, Yasuhiro Sogawa
- Publication date
- 2026-10-21T04:00:00Z
- Source identifier
- 2610.26904v1
- Public record ID
- record:sha256:a371d88cf54a70101d1a8ac24317260fcec5163484c3f10b713fa1306c741efd
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- a371d88cf54a70101d1a8ac24317260fcec5163484c3f10b713fa1306c741efd
- Record type
- Source metadata
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