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jekyll, jekyll-theme, academic-website, portfolio-website
image
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Jake Grigsby
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2026-02-20 18:24:19
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Jake Grigsby Toggle navigation home (current) Jake Grigsby I am a third year CS PhD student at UT Austin, working with Prof. Yuke Zhu and the Robot Perception and Learning Lab . My research focuses on generalization and long-term memory in deep reinforcement learning. Before coming to Austin, I studied Math and CS at the University of Virginia, where my research was advised by Prof. Yanjun Qi . Research AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Grigsby, Jake , Sasek, Justin, Parajuli, Samyak, Adebi, Daniel, Zhang, Amy and 1 more author NeurIPS 2024 PDF Code AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents Grigsby, Jake , Fan, Jim, and Zhu, Yuke ICLR (Spotlight) 2024 PDF Code Website Long-Range Transformers for Dynamic Spatiotemporal Forecasting Grigsby, Jake , Wang, Zhe, Nguyen, Nam, and Qi, Yanjun KDD Workshop on Mining and Learning from Time Series 2023 (Release...
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