119 citations · 156 across the 24 of their papers we have counts for
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cs.RO2021★ 1 cited
Goal-constrained Sparse Reinforcement Learning for End-to-End Driving
Pranav Agarwal, Pierre de Beaucorps, Raoul de Charette
Deep reinforcement Learning for end-to-end driving is limited by the need of complex reward engineering. Sparse rewards can circumvent this challenge but suffers from long training…
cs.RO2018★ 3 cited
A Statistical Update of Grid Representations from Range Sensors
Luis Roldão, Raoul De Charette, Anne Verroust-Blondet
In a wide range of robotic applications, being able to create a 3D model of the surrounding environment is a key feature for autonomous tasks. In this research report, we present a…