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Yugesh Kothari

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#reinforcement learning Open access Sep 2026

Invited: EDA-env: A Reinforcement Learning Environment for RTL-to-GDS Design with Independent Scoring

Artifacts accompanying the paper “Invited: EDA-env: A Reinforcement Learning Environment for RTL-to-GDS Design with Independent Scoring.” See the included README for contents and reproduction instructions.

Amur Ghose, Andrew B. Kahng, Yugesh Kothari et al. · 0 citations
#reinforcement learning Open access Sep 2026

Invited: EDA-env: A Reinforcement Learning Environment for RTL-to-GDS Design with Independent Scoring

Artifacts accompanying the paper “Invited: EDA-env: A Reinforcement Learning Environment for RTL-to-GDS Design with Independent Scoring.” See the included README for contents and reproduction instructions.

Amur Ghose, Andrew B. Kahng, Yugesh Kothari et al. · 0 citations
#reinforcement learning Dataset Open access Sep 2026

EDA-env: A Reinforcement Learning Environment for RTL-to-GDS Design with Independent Scoring

Task generator, independent scorer, 103 qualified RTL-to-GDS task packages on ASAP7, Nangate45 and Sky130HD, the scorer regression suite (143 probes), and the recorded Kimi-k3 episodes (patches, trajectories, sealed measurements) reported in the ICCAD 2026 paper "EDA-env: A Reinforcement Learning Environment for RTL-to...

Amur Ghose, Andrew B. Kahng, Yugesh Kothari et al. · 0 citations
#reinforcement learning Dataset Open access Sep 2026

EDA-env: A Reinforcement Learning Environment for RTL-to-GDS Design with Independent Scoring

Task generator, independent scorer, 103 qualified RTL-to-GDS task packages on ASAP7, Nangate45 and Sky130HD, the scorer regression suite (143 probes), and the recorded Kimi-k3 episodes (patches, trajectories, sealed measurements) reported in the ICCAD 2026 paper "EDA-env: A Reinforcement Learning Environment for RTL-to...

Amur Ghose, Andrew B. Kahng, Yugesh Kothari et al. · 0 citations

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