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Max Wilcoxson I am an incoming PhD student at MIT CSAIL who will be advised by Russ Tedrake. I did my B.A. at Berkeley where I was advised by Sergey Levine. During my undergrad, I received the Warren Y. Dere Design Award. |
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ResearchI am interested in reinforcement learning, generative models, sample-efficient exploration, robotics, and computer vision. Some papers are highlighted. |
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Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
Max Wilcoxson*, Qiyang Li*, Kevin Frans, Sergey Levine ICML, 2025 project page / arXiv / bibtex Leveraging unlabeled offline data for both skill pretraining and optimistic relabelling leads to extremely efficient online exploration. |
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Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment
Max Wilcoxson*, Morten Svendgård*, Ria Doshi*, Dylan Davis*, Reya Vir, Anant Sahai ICML Workshop on In-Context Learning, 2024 arxiv / bibtex Univariate polynomial regression is a simple task which captures in-context fine-tuning and alignment behavior, facilitating informative visualizations and deeper understanding. |
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