Ikechukwu Daniel Adebi

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I am a second-year Ph.D. student in Computer Science at the University of Texas at Austin, currently working under Prof. Kristen Grauman in the UT Austin Computer Vision Group. My research interests broadly lie at the intersection of robotics, computer vision, representation learning, and reinforcement learning for the purposes of improving long-term planning and autonomy. Ultimately, I aim to improve a robot’s ability to act, perceive, and learn in complex environments, and ensure that a machine’s goals will always align with human goals.

Previously, I received my bachelor’s and master’s degrees from the Massachusetts Institute of Technology studying Computer Science with a focus on Artificial Intelligence.

News

Sep 25, 2024 AMAGO-2 got accepted by NeurIPS (Poster Presentation).
May 22, 2023 Started my internship at IBM Research this summer in Yorktown Heights, NY.
Apr 22, 2023 I was selected to be a GEM Fellow!

Selected Publications

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    AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
    Jake Grisby, Justin Sasek*, Samyak Parajuli*, Daniel Adebi*, Amy Zhang, and Yuke Zhu
    Conference on Neural Information Processing Systems (NeurIPS), Nov 2024