Stochastic Double Deep Q-Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922706
Abstract: Estimation bias seriously affects the performance of reinforcement learning algorithms. The maximum operation may result in overestimation, while the double estimator operation often leads to underestimation. To eliminate the estimation bias, these two operations are… read more here.
Keywords: estimation bias; double estimator; stochastic double; double deep ... See more keywords
Double deep q-learning with prioritized experience replay for anomaly detection in smart environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3179720
Abstract: Anomaly detection in smart environments is important when dealing with rare events, which can be safety-critical to individuals or infrastructure. Safety-critical means in this case, that these events can be a threat to the safety… read more here.
Keywords: detection smart; detection; double deep; anomaly detection ... See more keywords
DeepSensing: A Novel Mobile Crowdsensing Framework With Double Deep Q-Network and Prioritized Experience Replay
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3022611
Abstract: Mobile crowdsensing (MCS) is a new and promising paradigm of data collection due to the growing number of mobile smart devices. It can be utilized in applications of large-scale sensing by employing a group of… read more here.
Keywords: tasks mobile; sensing tasks; double deep; mobile users ... See more keywords
Novel Intrusion Detection Strategies With Optimal Hyper Parameters for Industrial Internet of Things Based on Stochastic Games and Double Deep Q-Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3406386
Abstract: The Industrial Internet of Things (IIoT) has experienced rapid growth in recent years, with an increasing number of interconnected devices, thereby expanding the attack surface. Effectively detecting intrusions is crucial for safeguarding the IIoT systems… read more here.
Keywords: detection; double deep; intrusion detection; stochastic games ... See more keywords
Double Deep Learning for Joint Phase-Shift and Beamforming Based on Cascaded Channels in RIS-Assisted MIMO Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2023.3238073
Abstract: This letter investigates machine learning approach for the joint optimal phase shift and beamforming in the reconfigurable intelligent surface (RIS) assisted multiple-input and multiple-output (MIMO) network, consisting of one source node, one RIS panel and… read more here.
Keywords: phase shift; shift beamforming; cascaded channels; mimo ... See more keywords
SGD3QN: Joint Stochastic Games and Dueling Double Deep Q-Networks for Defending Malware Propagation in Edge Intelligence-Enabled Internet of Things
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2024.3420233
Abstract: Malware propagation in IoT (Internet of Things) systems can lead to data leakages, financial losses, and other serious consequences. To solve this issue, we propose a new active IoT malware propagation defence work. Specifically, aided… read more here.
Keywords: malware; dueling double; double deep; stochastic games ... See more keywords
Toward Massive Distribution of Intelligence for 6G Network Management Using Double Deep Q-Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2023.3333875
Abstract: In future 6G networks, the deployment of network elements is expected to be highly distributed, going beyond the level of distribution of existing 5G deployments. To fully exploit the benefits of such a distributed architecture,… read more here.
Keywords: distribution intelligence; distribution; double deep; network ... See more keywords
Maximizing VANETs Secrecy Data Rate Using Dueling Double Deep Q-Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2024.3452513
Abstract: Vehicular Ad Hoc Networks (VANETs) expand the application business of intelligent transportation systems. However, open communication environment issues a new challenge to the security of transmitting data. Data transmissions is vulnerable to malicious attacks, and… read more here.
Keywords: data rate; secrecy data; deep networks; dueling double ... See more keywords
Joint Trajectory and Beamforming Optimization for UAV-RIS-Empowered Multiuser Communication Networks: A Double Deep Q-Network Approach
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2025.3571057
Abstract: Reconfigurable intelligent surface (RIS) assisted unmanned aerial vehicle (UAV) communication technology offers adaptable reflected beams and dynamic parameter adjustments, proving vital for managing the highly dynamic communication environments expected in wireless communications. However, a key… read more here.
Keywords: uav ris; double deep; deep network; communication ... See more keywords
A Prediction of the Shooting Trajectory for a Tuna Purse Seine Using the Double Deep Q-Network (DDQN) Algorithm
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Marine Science and Engineering"
DOI: 10.3390/jmse13030530
Abstract: The purse seine is a fishing method in which a net is used to encircle a fish school, capturing isolated fish by tightening a purse line at the bottom of the net. Tuna purse seine… read more here.
Keywords: shooting trajectory; purse seine; double deep; seine ... See more keywords