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Saket Tiwari

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A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems

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Jan 18, 2023
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha

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On the Geometry of Reinforcement Learning in Continuous State and Action Spaces

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Dec 29, 2022
Saket Tiwari, Omer Gottesman, George Konidaris

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Effects of Data Geometry in Early Deep Learning

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Dec 29, 2022
Saket Tiwari, George Konidaris

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Meta-Learning Transferable Parameterized Skills

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Jun 07, 2022
Haotian Fu, Shangqun Yu, Saket Tiwari, George Konidaris, Michael Littman

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Natural Option Critic

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Dec 04, 2018
Saket Tiwari, Philip S. Thomas

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Hyperbolic Embeddings for Learning Options in Hierarchical Reinforcement Learning

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Dec 04, 2018
Saket Tiwari, M. Prannoy

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