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Coordinated Multi-Agent Pathfinding for Drones and Trucks over Road Networks


Oct 17, 2021
Shushman Choudhury, Kiril Solovey, Mykel Kochenderfer, Marco Pavone


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A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering


Aug 29, 2021
Raunak Bhattacharyya, Soyeon Jung, Liam Kruse, Ransalu Senanayake, Mykel Kochenderfer

* arXiv admin note: text overlap with arXiv:2005.02597 

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Hierarchical Planning for Resource Allocation in Emergency Response Systems


Dec 24, 2020
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Abhishek Dubey

* Accepted for publication in the proceedings of the 12th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS-2021) 

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Obstacle Avoidance Using a Monocular Camera


Dec 03, 2020
Kyle Hatch, John Mern, Mykel Kochenderfer

* AIAA SciTech Forum 2021 pre-print 

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Handling Missing Data with Graph Representation Learning


Oct 30, 2020
Jiaxuan You, Xiaobai Ma, Daisy Yi Ding, Mykel Kochenderfer, Jure Leskovec

* NeurIPS 2020 

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Uncertainty Aware Wildfire Management


Oct 15, 2020
Tina Diao, Samriddhi Singla, Ayan Mukhopadhyay, Ahmed Eldawy, Ross Shachter, Mykel Kochenderfer

* Accepted at AI for Social Good Workshop, AAAI Fall Symposium Series 2020 

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Designing Emergency Response Pipelines : Lessons and Challenges


Oct 15, 2020
Ayan Mukhopadhyay, Geoffrey Pettet, Mykel Kochenderfer, Abhishek Dubey

* Accepted at the AI for Social Good Workshop, AAAI Fall Symposium Series 2020 

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A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models


Jul 03, 2020
Ayan Mukhopadhyay, Geoffrey Pettet, Sayyed Vazirizade, Yevgeniy Vorobeychik, Mykel Kochenderfer, Abhishek Dubey


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Modeling Human Driving Behavior through Generative Adversarial Imitation Learning


Jun 10, 2020
Raunak Bhattacharyya, Blake Wulfe, Derek Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel Kochenderfer

* 28 pages, 8 figures. arXiv admin note: text overlap with arXiv:1803.01044 

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Improving Automated Driving through Planning with Human Internal States


May 28, 2020
Zachary Sunberg, Mykel Kochenderfer

* Preprint before submission to IEEE Transactions on Intelligent Transportation Systems. arXiv admin note: text overlap with arXiv:1702.00858 

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Online Parameter Estimation for Human Driver Behavior Prediction


May 06, 2020
Raunak Bhattacharyya, Ransalu Senanayake, Kyle Brown, Mykel Kochenderfer

* Accepted to the 2020 American Control Conference (ACC). 6 pages, 6 figures 

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Learning Near Optimal Policies with Low Inherent Bellman Error


Mar 05, 2020
Andrea Zanette, Alessandro Lazaric, Mykel Kochenderfer, Emma Brunskill

* Minor fix 

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On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities


Feb 27, 2020
Geoffrey Pettet, Ayan Mukhopadhyay, Mykel Kochenderfer, Yevgeniy Vorobeychik, Abhishek Dubey

* Accepted at AAMAS 2020 (International Conference on Autonomous Agents and Multiagent Systems) 

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Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning


Dec 20, 2019
Sheng Li, Maxim Egorov, Mykel Kochenderfer

* Thirteenth USA/Europe Air Traffic Management Research and Development Seminar 

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Efficient Autonomy Validation in Simulation with Adaptive Stress Testing


Jul 16, 2019
Mark Koren, Mykel Kochenderfer

* Submitted to IEEE ITSC 2019 

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Object Exchangeability in Reinforcement Learning: Extended Abstract


May 07, 2019
John Mern, Dorsa Sadigh, Mykel Kochenderfer

* In Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), Montreal,Canada, May 13 to 17, 2019,IFAAMAS, 3 pages 

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Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace from Position Data


Oct 22, 2018
Shane Barratt, Mykel Kochenderfer, Stephen Boyd

* IEEE Transactions on Intelligent Transportation Systems 

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Online algorithms for POMDPs with continuous state, action, and observation spaces


Sep 06, 2018
Zachary Sunberg, Mykel Kochenderfer

* Short version published in 2018 proceedings of the International Conference on Automated Planning and Scheduling (ICAPS) 
* Added Multilane section 

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Layer-wise synapse optimization for implementing neural networks on general neuromorphic architectures


Feb 20, 2018
John Mern, Jayesh K Gupta, Mykel Kochenderfer

* Submitted to IEEE Symposium Series on Computational Intelligence (SSCI) 2017 

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Toward Scalable Verification for Safety-Critical Deep Networks


Feb 02, 2018
Lindsey Kuper, Guy Katz, Justin Gottschlich, Kyle Julian, Clark Barrett, Mykel Kochenderfer

* Accepted for presentation at SysML 2018 

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Deep Stochastic Radar Models


Jun 16, 2017
Tim Allan Wheeler, Martin Holder, Hermann Winner, Mykel Kochenderfer

* IEEE Intelligent Vehicles Symposium 2017. Accepted for plenary presentation 

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Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks


May 19, 2017
Guy Katz, Clark Barrett, David Dill, Kyle Julian, Mykel Kochenderfer

* This is the extended version of a paper with the same title that appeared at CAV 2017 

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The Value of Inferring the Internal State of Traffic Participants for Autonomous Freeway Driving


Feb 02, 2017
Zachary Sunberg, Christopher Ho, Mykel Kochenderfer


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Imitating Driver Behavior with Generative Adversarial Networks


Jan 24, 2017
Alex Kuefler, Jeremy Morton, Tim Wheeler, Mykel Kochenderfer

* 8 pages, 6 figures 

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