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Publications by Jonathan P. How
Robust Sampling-Based Motion Planning With Asymptotic Optimality Guarantees
Scalable Reward Learning From Demonstration
Control Architecture Selection and Design for Cooperating UAVs
Approximate Dynamic Programming Using Support Vector Regression
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Sampling-Based Motion Planning
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Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles
Adaptive Local Learning in Sampling Based Motion Planning for Protein Folding
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Motion Planning for Mobile Robots via Sampling-Based Model Predictive Optimization
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Proceedings of the VLDB Endowment
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