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 ...

Mar 19, 2022 · Therefore, this paper proposes a new deep reinforcement learning algorithm, namely Multiple Pools Twin Delay Deep Deterministic Policy. Gradient ...

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.

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

Full Length Article. Deep-reinforcement-learning-based UAV autonomous navigation and collision avoidance in unknown environments.

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

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