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 ...

This paper adopts Dueling Deep Q-network (Dueling DQN) algorithm with improved network structure based on the Deep Q-network (DQN) algorithm, combined with ε- ...

Jun 23, 2022 · Abstract: There are some problems with traditional deep reinforcement learning in solving autonomous obstacle avoidance and target tracking ...

A new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy Gradient (MPTD3) algorithm, whereby the state space ...

Therefore, this paper proposes a new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy Gradient (MPTD3) ...

Autonomous obstacle avoidance and target tracking of UAV: Transformer for observation sequence in reinforcement learning · Trading-Off Safety with Agility Using ...

Concerning the end-to-end autonomous UAV obstacle avoidance problem, a deep reinforcement learning-based autonomous flight obstacle avoidance method, called.

Nov 11, 2022 · Bhagat [13] proposed an algorithm based on deep reinforcement learning (DRL), which takes the position of UAV, target and obstacles in the ...

Jul 3, 2023 · In this paper, an autonomous navigation and obstacle avoidance of the UAV (ANOAU) algorithm based on deep reinforcement learning (DRL) has been ...