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Twin delayed deep deterministic policy gradient-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage training
Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It
requires handling a high level of nonlinearity and dynamics. Model-free control effectively …
requires handling a high level of nonlinearity and dynamics. Model-free control effectively …
[HTML][HTML] An adaptive multi-level quantization-based reinforcement learning model for enhancing UAV landing on moving targets
The autonomous landing of an unmanned aerial vehicle (UAV) on a moving platform is an
essential functionality in various UAV-based applications. It can be added to a teleoperation …
essential functionality in various UAV-based applications. It can be added to a teleoperation …
Reinforcement learning-based target tracking for unmanned aerial vehicle with achievement rewarding and multistage traning
NAM Ahmed Abo Mosali - 2022 - eprints.uthm.edu.my
Target tracking using an unmanned aerial vehicle (UAV) is a challenging robotic problem. It
requires handling a high level of nonlinearity and dynamics device. The aim is to enable …
requires handling a high level of nonlinearity and dynamics device. The aim is to enable …