Search Results for author: Grace Lam

Found 5 papers, 2 papers with code

OpenVLA: An Open-Source Vision-Language-Action Model

2 code implementations13 Jun 2024 Moo Jin Kim, Karl Pertsch, Siddharth Karamcheti, Ted Xiao, Ashwin Balakrishna, Suraj Nair, Rafael Rafailov, Ethan Foster, Grace Lam, Pannag Sanketi, Quan Vuong, Thomas Kollar, Benjamin Burchfiel, Russ Tedrake, Dorsa Sadigh, Sergey Levine, Percy Liang, Chelsea Finn

Large policies pretrained on a combination of Internet-scale vision-language data and diverse robot demonstrations have the potential to change how we teach robots new skills: rather than training new behaviors from scratch, we can fine-tune such vision-language-action (VLA) models to obtain robust, generalizable policies for visuomotor control.

Ranked #7 on Robot Manipulation on SimplerEnv-Widow X (using extra training data)

Imitation Learning Language Modelling +3

RLHF and IIA: Perverse Incentives

no code implementations2 Dec 2023 Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy

Existing algorithms for reinforcement learning from human feedback (RLHF) can incentivize responses at odds with preferences because they are based on models that assume independence of irrelevant alternatives (IIA).

reinforcement-learning Reinforcement Learning

Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images

no code implementations27 Feb 2019 Ruizhi Liao, Jonathan Rubin, Grace Lam, Seth Berkowitz, Sandeep Dalal, William Wells, Steven Horng, Polina Golland

We propose and demonstrate machine learning algorithms to assess the severity of pulmonary edema in chest x-ray images of congestive heart failure patients.

BIG-bench Machine Learning

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