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Efficient Reachability Analysis of Closed-Loop Systems with Neural Network Controllers


Jan 05, 2021
Michael Everett, Golnaz Habibi, Jonathan P. How


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A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning


Oct 31, 2020
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

* Under review as a conference paper 

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Robustness Analysis of Neural Networks via Efficient Partitioning: Theory and Applications in Control Systems


Oct 01, 2020
Michael Everett, Golnaz Habibi, Jonathan P. How


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Incremental Learning of Motion Primitives for Pedestrian Trajectory Prediction at Intersections


Nov 21, 2019
Golnaz Habibi, Nikita Japuria, Jonathan P. How


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Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning


Mar 07, 2019
Dong Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How


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Context-Aware Pedestrian Motion Prediction In Urban Intersections


Jun 25, 2018
Golnaz Habibi, Nikita Jaipuria, Jonathan P. How


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A Transferable Pedestrian Motion Prediction Model for Intersections with Different Geometries


Jun 25, 2018
Nikita Jaipuria, Golnaz Habibi, Jonathan P. How


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Transferable Pedestrian Motion Prediction Models at Intersections


Mar 15, 2018
Macheng Shen, Golnaz Habibi, Jonathan P. How


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