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1

Local path planning for unmanned surface vehicle based on spatial and temporal sensing-enhanced deep Q-network

基于时空感知增强的深度Q网络无人水面艇局部路径规划

Zhang Mu

Tang Jun

Yang Youbo

Chen Yu

Lei Yinjie

local path planning

complex obstacle

current disturbance

deep Q-network

multi-scale spatial attention

reward function

No. 5, 2023 : 1330-1334 doi:10.19734/j.issn.1001-3695.2022.09.0466

2

Right-turn driving decisions of autonomous vehicles at signal-free intersections

自动驾驶车辆在无信号交叉口右转驾驶决策技术研究

Wang Shuyan

Wan Qingtian

deep reinforcement learning

autonomous driving

signal-free intersections

decision making

reward function

No. 5, 2023 : 1468-1472 doi:10.19734/j.issn.1001-3695.2022.08.0420

3

Adaptive opening and screwing method of manipulator based on force guidance

基于力觉引导的机械臂自适应开门旋拧方法

Jiang Yuanchen

Liu Hongwei

Liu Manlu

Zhang Junjun

deep reinforcement learning

force guided

adaptive method

reward function

No. 6, 2021 : 1804-1808 doi:10.19734/j.issn.1001-3695.2020.06.0251

4

Design of TOC reward function in multi-target trajectory recovery with deep reinforcement learning

深度强化学习复原多目标航迹的TOC奖励函数

He Liang

Xu Zhengguo

Jia Yu

Shen Chao

Li Yun

deep reinforcement learning(DRL)

sequential decision

Q function

trajectory osculating circle(TOC)

No. 6, 2020 : 1626-1632 doi:10.19734/j.issn.1001-3695.2018.12.0886

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Searchreward functionreturned 4 results

Local path planning for unmanned surface vehicle based on spatial and temporal sensing-enhanced deep Q-network

Right-turn driving decisions of autonomous vehicles at signal-free intersections

Adaptive opening and screwing method of manipulator based on force guidance

Design of TOC reward function in multi-target trajectory recovery with deep reinforcement learning