23 citations · 42 across the 3 of their papers we have counts for
3 papers
cs.RO2020★ 10 cited
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation
Lei He, Aouf Nabil, Bifeng Song
Autonomous navigation in unknown complex environment is still a hard problem, especially for small Unmanned Aerial Vehicles (UAVs) with limited computation resources. In this paper…
cs.RO2020★ 23 cited
Deep Reinforcement Learning based Local Planner for UAV Obstacle Avoidance using Demonstration Data
Lei He, Nabil Aouf, James F. Whidborne +1
In this paper, a deep reinforcement learning (DRL) method is proposed to address the problem of UAV navigation in an unknown environment. However, DRL algorithms are limited by the…
cs.DC2019★ 9 cited
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang, Ying Wang, Cheng Liu +3
Graph neural networks (GNNs) emerge as a powerful approach to process non-euclidean data structures and have been proved powerful in various application domains such as social netw…