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20192024
most citedAddressing Inherent Uncertainty: Risk-Sensitive Behavior Generation for Automated Driving using Distributional Reinforcement Learning

33 citations · 68 across the 6 of their papers we have counts for

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Showing 2024 · cs.ROShow all

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cs.RO2024

PlanNetX: Learning an Efficient Neural Network Planner from MPC for Longitudinal Control

Jasper Hoffmann, Diego Fernandez, Julien Brosseit +5

Model predictive control (MPC) is a powerful, optimization-based approach for controlling dynamical systems. However, the computational complexity of online optimization can be pro…