Apr 22, 2024 · The TOSRL framework proposes the use of a Transformer encoder to extract features from UAV observation sequences, mitigating memory loss caused by long ...

The TOSRL framework proposes the use of a Transformer encoder to extract features from UAV observation sequences, mitigating memory loss caused by long ...

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. https://doi.org/10.1016/j.knosys ...

Apr 1, 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: Transformer for observation sequence in reinforcement learning. Knowl. Based Syst. 290: 111604 ...

Autonomous obstacle avoidance and target tracking of UAV: Transformer for observation sequence in reinforcement learning. Weilai Jiang, Tianqing Cai ...

This paper proposes a two-stage DRL method combined with expert experiences (TSDRL-EE) to solve MTT decision-making problem.

This study proposes using unmanned aerial vehicles (UAVs) to carry out tasks involving path planning and obstacle avoidance, and to explore how to improve ...

This paper introduces an approach to address the target enclosing problem using non-holonomic multiagent systems, where agents autonomously self-organize ...