Search Result

1

Physics-informed reinforcement learning-based car-following control model for autonomous vehicles

基于物理信息强化学习的无人驾驶车辆跟驰控制模型

Zhou Ruixiang

Yang Da

Zhu Liling

vehicle following

reinforcement learning

depth deterministic strategy gradient

physical information

Accepted Paper No. 6, 2025 : doi:10.19734/j.issn.1001-3695.2024.11.0473

2

Multi-agent deep reinforcement learning tracking control for robotic manipulator based on behavior cloning

基于行为克隆的机械臂多智能体深度强化学习轨迹跟踪控制

Yi Jiahao

Wang Fujie

Hu Jintao

Qin Yi

Guo Fang

Luo Junxuan

multi-agent

twin delayed deep deterministic policy gradient

deep reinforcement learning

trajectory tracking

behavior cloning

No. 4, 2025 : 1025-1033 doi:10.19734/j.issn.1001-3695.2024.09.0340

3

Deep reinforcement learning tracking control for robotic manipulator based on selective hindsight experience replay

基于事后筛选经验回放的机器人深度强化学习跟踪控制

Yi Jiahao

Wang Fujie

Hu Jintao

Li Xing

Luo Junxuan

selective hindsight experience replay

deep deterministic policy

DRL

trajectory tracking

robotic arm

experience pool optimisation

No. 3, 2025 : 834-839 doi:10.19734/j.issn.1001-3695.2024.07.0234

4

Optimization for active reconfigurable intelligent surface-assisted secure wireless communication based on deep reinforcement learning

基于DRL的主动RIS安全无线通信优化方法

Liu Wentao

Manzoor Ahmed

Lin Qing

active reconfigurable intelligent surface

deep reinforcement learning

deep deterministic policy gradient

beamforming

multiplicative fading

multi input single output

physical layer security

No. 9, 2023 : 2808-2814 doi:10.19734/j.issn.1001-3695.2023.01.0026

5

Multi-tasks resource joint optimization based on asynchronous reward deep deterministic policy gradient in edge computing

基于异步奖励深度确定性策略梯度的边缘计算多任务资源联合优化

Zhou Heng

Li Lijun

Dong Zengshou

edge computing

task offloading

resource joint optimization

dynamic bandwidth allocation

DDPG

No. 5, 2023 : 1491-1496 doi:10.19734/j.issn.1001-3695.2022.08.0471

6

Multi-objective optimal car-following model with lateral and longitudinal control

基于横纵向联合控制的多目标优化车辆跟驰研究

Li Mengfan

Qin Wenhu

Yun Zhonghua

car following

lateral and longitudinal control

deep deterministic policy gradient

NGSIM

No. 8, 2022 : 2409-2413 doi:10.19734/j.issn.1001-3695.2021.12.0687

7

Research on AGV path planning method in complex environment based on improved DDPG algorithm

基于改进DDPG算法的复杂环境下AGV路径规划方法研究

Meng Chenyang

Hao Chongqing

Li Ran

Wang Xiaobo

Wang Zhaolei

Zhao Jiang

deep learning

AGV path planning

depth deterministic policy gradient algorithm

small batch priority sampling

No. 3, 2022 : 681-687 doi:10.19734/j.issn.1001-3695.2021.08.0392

8

Research on improved DDPG algorithm based on LSTM and asymmetric network

基于LSTM与非对称网络的改进DDPG算法研究

He Fujun

Wang Xiaozheng

Liu Kai

DDPG

LSTM

asymmetric actor-critic

deep reinforcement learning

dynamic environment

No. 1, 2022 : 183-187 doi:10.19734/j.issn.1001-3695.2021.05.0200

Search 深度确定性策略

Search深度确定性策略returned 8 results

Physics-informed reinforcement learning-based car-following control model for autonomous vehicles

Multi-agent deep reinforcement learning tracking control for robotic manipulator based on behavior cloning

Deep reinforcement learning tracking control for robotic manipulator based on selective hindsight experience replay

Optimization for active reconfigurable intelligent surface-assisted secure wireless communication based on deep reinforcement learning

Multi-tasks resource joint optimization based on asynchronous reward deep deterministic policy gradient in edge computing

Multi-objective optimal car-following model with lateral and longitudinal control

Research on AGV path planning method in complex environment based on improved DDPG algorithm

Research on improved DDPG algorithm based on LSTM and asymmetric network