Mar 19, 2022 · Therefore, this paper proposes a new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy Gradient ...
Jan 11, 2024 · Therefore, this paper proposes a new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy Gradient ...
Abstract: In order to overcome the shortcomings of slow convergence, low success rate and sub-optimal tracking path of deep reinforcement learning ...
Jun 23, 2022 · Abstract: There are some problems with traditional deep reinforcement learning in solving autonomous obstacle avoidance and target tracking ...
Mar 19, 2022 · Therefore, this paper proposes a new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy. Gradient ...
Autonomous Obstacle Avoidance and Target Tracking of UAV Based on ...
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A new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy Gradient (MPTD3) algorithm, whereby the state space ...
Mar 5, 2024 · Autonomous obstacle avoidance and target tracking of UAV: Transformer for observation sequence in reinforcement learning · No full-text available.
Autonomous obstacle avoidance and target tracking of UAV: Transformer for observation sequence in reinforcement learning · Trading-Off Safety with Agility Using ...
Full Length Article. Deep-reinforcement-learning-based UAV autonomous navigation and collision avoidance in unknown environments.
People also ask
What is the autonomy of a UAV?
Autonomous Flight. Autonomous drones and UAVs (unmanned aerial vehicles) are able to make intelligent decisions without input from a pilot or operator, learning from and adapting to the environment and not being confined to a particular prescriptive algorithm.
What is UAV based remote sensing?
UAV Remote Sensing Applications
Unmanned Aerial Vehicle – UAV popularly known as drone, is an airborne system or an aircraft operated remotely by a human operator or autonomously by an onboard computer. There are two broad classes of UAVs – Fixed wing and Rotary based.
What is obstacle avoidance for unmanned aerial vehicles?
The core technology of autonomous obstacle avoidance for unmanned aerial vehicles is the motion planning algorithm, which usually includes front-end path planning and back-end trajectory optimization.
Mar 19, 2022 · When using deep reinforcement learning algorithm to complete Unmanned Aerial Vehicle (UAV) autonomous obstacle avoidance and target tracking ...