Articles

Data-driven active corrective control in power systems: an interpretable deep reinforcement learning approach

in Smart Grids

• Beibei Li
• Qian Liu
• Yue Hong
• Yuxiong He
• Lihong Zhang
• Zhihong He
• Xiaoze Feng
• Tianlu Gao
• Li Yang

Deep reinforcement learning and robust SLAM based robotic control algorithm for self-driving path optimization

• Samiullah Khan
• Ashfaq Niaz
• Dou Yinke
• Muhammad Usman Shoukat
• Saqib Ali Nawaz

Adaptive satellite attitude control for varying masses using deep reinforcement learning

in Space Robotics

• Wiebke Retagne
• Jonas Dauer
• Günther Waxenegger-Wilfing

Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles

in Robotic Control Systems

• Simen Theie Havenstrøm
• Adil Rasheed
• Omer San

Coulomb force-guided deep reinforcement learning for effective and explainable robotic motion planning

in Robot Learning and Evolution

• Sirui Song
• Trevor Bihl
• Jundong Liu

Point-to-Point Navigation of a Fish-Like Swimmer in a Vortical Flow With Deep Reinforcement Learning

in Biophysics

• Yi Zhu
• Jian-Hua Pang
• Fang-Bao Tian

Hybrid-Model-Based Deep Reinforcement Learning for Heating, Ventilation, and Air-Conditioning Control

in Smart Grids

• Huan Zhao
• Junhua Zhao
• Ting Shu
• Zibin Pan

A deep reinforcement learning-based approach for cyber resilient demand response optimization

in Smart Grids

• Ayush Sinha
• Ranjana Vyas
• Feras Alasali
• William Holderbaum
• O. P. Vyas

Strategy optimization of emergency frequency control based on new load with time delay characteristics

in Smart Grids

• Lixia Sun
• Yiyun Tian
• Yichao Wu
• Wenzhe Huang
• Chenhui Yan
• Yuqing Jin

Navigational Behavior of Humans and Deep Reinforcement Learning Agents

in Cognitive Science

• Lillian M. Rigoli
• Gaurav Patil
• Hamish F. Stening
• Rachel W. Kallen
• Michael J. Richardson

A parallel heterogeneous policy deep reinforcement learning algorithm for bipedal walking motion design

• Chunguang Li
• Mengru Li
• Chongben Tao

An adaptive quasi-PR controller for modular multilevel converters based on deep reinforcement learning

in Smart Grids

• Yukun Chen
• Xin Luo
• Yuxin Lu
• Fei Duan
• Zhu Guo
• Tianyou Yan

Artificial Intelligence in Optical Communications: From Machine Learning to Deep Learning

in Optical Communications and Networks

• Danshi Wang
• Min Zhang

Research on reinforcement learning-based safe decision-making methodology for multiple unmanned aerial vehicles

• Longfei Yue
• Rennong Yang
• Ying Zhang
• Jialiang Zuo

Realizing asynchronous finite-time robust tracking control of switched flight vehicles by using nonfragile deep reinforcement learning

in Decision Neuroscience

• Haoyu Cheng
• Ruijia Song
• Haoran Li
• Wencheng Wei
• Biyu Zheng
• Yangwang Fang

Learning new attack vectors from misuse cases with deep reinforcement learning

in Smart Grids

• Eric M. S. P. Veith
• Arlena Wellßow
• Mathias Uslar