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Claire Tomlin

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories

Jan 04, 2023
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire Tomlin, David Fridovich-Keil

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* Accepted by AAMAS 2023. This is a preprint version

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Inducing Structure in Reward Learning by Learning Features

Jan 18, 2022
Andreea Bobu, Marius Wiggert, Claire Tomlin, Anca D. Dragan

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* 24 pages, 22 figures, accepted to the International Journal of Robotics Research. arXiv admin note: text overlap with arXiv:2006.13208

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Learning from learning machines: a new generation of AI technology to meet the needs of science

Nov 27, 2021
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus Zwart, Neeraj Kumar, Amy Justice, Claire Tomlin, Daniel Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Ken Kreutz-Delgado, Michael W. Mahoney, James B. Brown

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Incorporating Data Uncertainty in Object Tracking Algorithms

Sep 22, 2021
Anish Muthali, Forrest Laine, Claire Tomlin

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* For associated video, see https://youtu.be/S21EvaAynRg

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The Computation of Approximate Generalized Feedback Nash Equilibria

Jan 08, 2021
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire Tomlin

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Multi-Hypothesis Interactions in Game-Theoretic Motion Planning

Nov 11, 2020
Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu, Claire Tomlin

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* For associated mp4 file, see https://youtu.be/x7VtYDrWTWM

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Testing for Typicality with Respect to an Ensemble of Learned Distributions

Nov 11, 2020
Forrest Laine, Claire Tomlin

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* Written in October 2019

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