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Anthony Corso

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Constrained Hierarchical Monte Carlo Belief-State Planning

Oct 30, 2023
Arec Jamgochian, Hugo Buurmeijer, Kyle H. Wray, Anthony Corso, Mykel J. Kochenderfer

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Transcending the Attention Paradigm: Implicit Learning from Geospatial Social Media Data

Oct 09, 2023
Nick DiSanto, Anthony Corso, Benjamin Sanders, Gavin Harding

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A Holistic Assessment of the Reliability of Machine Learning Systems

Jul 29, 2023
Anthony Corso, David Karamadian, Romeo Valentin, Mary Cooper, Mykel J. Kochenderfer

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Reflections from the Workshop on AI-Assisted Decision Making for Conservation

Jul 17, 2023
Lily Xu, Esther Rolf, Sara Beery, Joseph R. Bennett, Tanya Berger-Wolf, Tanya Birch, Elizabeth Bondi-Kelly, Justin Brashares, Melissa Chapman, Anthony Corso, Andrew Davies, Nikhil Garg, Angela Gaylard, Robert Heilmayr, Hannah Kerner, Konstantin Klemmer, Vipin Kumar, Lester Mackey, Claire Monteleoni, Paul Moorcroft, Jonathan Palmer, Andrew Perrault, David Thau, Milind Tambe

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BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations

Jun 02, 2023
Robert J. Moss, Anthony Corso, Jef Caers, Mykel J. Kochenderfer

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Model-based Validation as Probabilistic Inference

May 17, 2023
Harrison Delecki, Anthony Corso, Mykel J. Kochenderfer

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Online Planning for Constrained POMDPs with Continuous Spaces through Dual Ascent

Dec 23, 2022
Arec Jamgochian, Anthony Corso, Mykel J. Kochenderfer

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A Deep Reinforcement Learning Approach to Rare Event Estimation

Nov 22, 2022
Anthony Corso, Kyu-Young Kim, Shubh Gupta, Grace Gao, Mykel J. Kochenderfer

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Verifying Inverse Model Neural Networks

Feb 04, 2022
Chelsea Sidrane, Sydney Katz, Anthony Corso, Mykel J. Kochenderfer

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