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Jonathan P. How

Massachusetts Institute of Technology

MADER: Trajectory Planner in Multi-Agent and Dynamic Environments

Oct 21, 2020
Jesus Tordesillas, Jonathan P. How

* 14 pages, 15 figures 

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MINVO Basis: Finding Simplexes with Minimum Volume Enclosing Polynomial Curves

Oct 21, 2020
Jesus Tordesillas, Jonathan P. How

* 17 pages, 16 figures 

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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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Lunar Terrain Relative Navigation Using a Convolutional Neural Network for Visual Crater Detection

Jul 15, 2020
Lena M. Downes, Ted J. Steiner, Jonathan P. How

* 6 pages, 4 figures. This work was accepted by the 2020 American Control Conference 

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Set-Invariant Constrained Reinforcement Learning with a Meta-Optimizer

Jul 09, 2020
Chuangchuang Sun, Dong-Ki Kim, Jonathan P. How

* Accepted to ICML 2020 Workshop Theoretical Foundations of RL 

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Collision Probabilities for Continuous-Time Systems Without Sampling [with Appendices]

Jun 01, 2020
Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How

* To appear at RSS 2020 

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Certified Adversarial Robustness for Deep Reinforcement Learning

Apr 11, 2020
Michael Everett, Bjorn Lutjens, Jonathan P. How

* arXiv admin note: text overlap with arXiv:1910.12908 

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Active Reward Learning for Co-Robotic Vision Based Exploration in Bandwidth Limited Environments

Mar 10, 2020
Stewart Jamieson, Jonathan P. How, Yogesh Girdhar

* 7 pages, 4 figures; accepted for presentation in IEEE Int. Conf. on Robotics and Automation, ICRA '20, Paris, France, June 2020 

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Asynchronous and Parallel Distributed Pose Graph Optimization

Mar 06, 2020
Yulun Tian, Alec Koppel, Amrit Singh Bedi, Jonathan P. How


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Touch the Wind: Simultaneous Airflow, Drag and Interaction Sensing on a Multirotor

Mar 04, 2020
Andrea Tagliabue, Aleix Paris, Suhan Kim, Regan Kubicek, Sarah Bergbreiter, Jonathan P. How

* The first two authors contributed equally 

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A Distributed Pipeline for Scalable, Deconflicted Formation Flying

Mar 04, 2020
Parker C. Lusk, Xiaoyi Cai, Samir Wadhwania, Aleix Paris, Kaveh Fathian, Jonathan P. How

* 8 pages, 8 figures, submitted to 2020 IEEE IROS with IEEE RAS RA-L option 

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Scaling Up Multiagent Reinforcement Learning for Robotic Systems: Learn an Adaptive Sparse Communication Graph

Mar 03, 2020
Chuangchuang Sun, Macheng Shen, Jonathan P. How


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R-MADDPG for Partially Observable Environments and Limited Communication

Feb 18, 2020
Rose E. Wang, Michael Everett, Jonathan P. How

* Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019 
* Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 36th International Conference on Machine Learning, Long Beach, California, USA, 2019 

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Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning

Jan 18, 2020
Samaneh Hosseini Semnani, Hugh Liu, Michael Everett, Anton de Ruiter, Jonathan P. How


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FASTER: Fast and Safe Trajectory Planner for Flights in Unknown Environments

Jan 09, 2020
Jesus Tordesillas, Brett T. Lopez, Michael Everett, Jonathan P. How

* Journal paper. arXiv admin note: text overlap with arXiv:1903.03558 

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Block-Coordinate Descent on the Riemannian Staircase for Certifiably Correct Distributed Rotation and Pose Synchronization

Dec 21, 2019
Yulun Tian, Kasra Khosoussi, Jonathan P. How

* technical report version 3 (add missing step in algorithm 1) 

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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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Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games

Oct 28, 2019
Macheng Shen, Jonathan P. How


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Collision Avoidance in Pedestrian-Rich Environments with Deep Reinforcement Learning

Oct 24, 2019
Michael Everett, Yu Fan Chen, Jonathan P. How

* arXiv admin note: substantial text overlap with arXiv:1805.01956 

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Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning

Sep 19, 2019
Arpan Kusari, Jonathan P. How

* Submitted to ICRA 2020 

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Search and Rescue under the Forest Canopy using Multiple UAVs

Aug 28, 2019
Yulun Tian, Katherine Liu, Kyel Ok, Loc Tran, Danette Allen, Nicholas Roy, Jonathan P. How

* IJRR submission 

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Towards Online Observability-Aware Trajectory Optimization for Landmark-based Estimators

Aug 27, 2019
Kristoffer M. Frey, Ted J. Steiner, Jonathan P. How

* To appear at ISRR 2019; 16 pages 

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Planning Beyond the Sensing Horizon Using a Learned Context

Aug 24, 2019
Michael Everett, Justin Miller, Jonathan P. How


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