most citedA Divide-and-Conquer Machine Learning Approach for Modelling Turbulent Flows

15 citations · 17 across the 4 of their papers we have counts for

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cs.AI2021★ 1 cited

Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player

Hanlin Niu, Ze Ji, Farshad Arvin +3

This paper presents a sensor-level mapless collision avoidance algorithm for use in mobile robots that map raw sensor data to linear and angular velocities and navigate in an unkno…