Research
I'm interested in deep learning in general, and model-based RL and generative models in particular.
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Chip Placement with Diffusion Models
Vint Lee,
Minh Nguyen,
Leena Elzeiny,
Chun Deng,
Pieter Abbeel,
John Wawrzynek
ICML, 2025
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arXiv
We train diffusion models to perform macro placement, an important step in designing chips, using our novel data-generation algorithm and model architecture.
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DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Vint Lee,
Pieter Abbeel,
Youngwoon Lee
ICLR, 2024
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arXiv
Reward smoothing provides significant improvement to performance of model-based RL algorithms in many sparse-reward environments.
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Low-cost, Lightweight Electronic Flow Regulators for Throttling Liquid Rocket Engines
Vint Lee,
Sohom Roy
IAC, 2023. Best Undergraduate Paper Award
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arXiv
Electronic pressure regulators enable more flexible and accurate control of pressures in liquid rocket engines, opening up new capabilities for collegiate teams such as throttling.
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