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Julie Shah

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Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration

Feb 23, 2024
Eike Schneiders, Christopher Fourie, Stanley Celestin, Julie Shah, Malte Jung

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Human-Guided Complexity-Controlled Abstractions

Oct 27, 2023
Andi Peng, Mycal Tucker, Eoin Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah

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An Information Bottleneck Characterization of the Understanding-Workload Tradeoff

Oct 11, 2023
Lindsay Sanneman, Mycal Tucker, Julie Shah

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Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation

Jul 13, 2023
Andi Peng, Aviv Netanyahu, Mark Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal

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Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue

May 18, 2023
Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai

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Aligning Robot and Human Representations

Feb 03, 2023
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan

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Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence

Oct 31, 2022
Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David Parkes, William Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller

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Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report

Oct 27, 2022
Michael L. Littman, Ifeoma Ajunwa, Guy Berger, Craig Boutilier, Morgan Currie, Finale Doshi-Velez, Gillian Hadfield, Michael C. Horowitz, Charles Isbell, Hiroaki Kitano, Karen Levy, Terah Lyons, Melanie Mitchell, Julie Shah, Steven Sloman, Shannon Vallor, Toby Walsh

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Towards Human-Agent Communication via the Information Bottleneck Principle

Jun 30, 2022
Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky

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