Picture for Kan Zheng

Kan Zheng

Sherman

Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part II: Control-Aware Radio Resource Allocation

Add code
Nov 19, 2023
Viaarxiv icon

Multi-Timescale Control and Communications with Deep Reinforcement Learning -- Part I: Communication-Aware Vehicle Control

Add code
Nov 19, 2023
Viaarxiv icon

Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning

Add code
Apr 28, 2023
Figure 1 for Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Figure 2 for Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Figure 3 for Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Figure 4 for Optimal Scheduling in IoT-Driven Smart Isolated Microgrids Based on Deep Reinforcement Learning
Viaarxiv icon

Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges

Add code
Mar 31, 2023
Figure 1 for Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges
Figure 2 for Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges
Figure 3 for Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges
Figure 4 for Vision-Assisted mmWave Beam Management for Next-Generation Wireless Systems: Concepts, Solutions and Open Challenges
Viaarxiv icon

Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming

Add code
Jun 15, 2022
Figure 1 for Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Figure 2 for Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Figure 3 for Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Figure 4 for Autonomous Platoon Control with Integrated Deep Reinforcement Learning and Dynamic Programming
Viaarxiv icon

Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning

Add code
Jun 03, 2022
Figure 1 for Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Figure 2 for Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Figure 3 for Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Figure 4 for Joint Energy Dispatch and Unit Commitment in Microgrids Based on Deep Reinforcement Learning
Viaarxiv icon

Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information

Add code
Mar 28, 2022
Figure 1 for Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Figure 2 for Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Figure 3 for Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Figure 4 for Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Viaarxiv icon

Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles

Add code
Mar 19, 2022
Figure 1 for Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles
Figure 2 for Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles
Figure 3 for Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles
Figure 4 for Min-Max Latency Optimization Based on Sensed Position State Information in Internet of Vehicles
Viaarxiv icon

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

Add code
Aug 26, 2021
Figure 1 for Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Figure 2 for Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Figure 3 for Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Figure 4 for Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Viaarxiv icon

LSTM-based Anomaly Detection for Non-linear Dynamical System

Add code
Jun 05, 2020
Figure 1 for LSTM-based Anomaly Detection for Non-linear Dynamical System
Figure 2 for LSTM-based Anomaly Detection for Non-linear Dynamical System
Figure 3 for LSTM-based Anomaly Detection for Non-linear Dynamical System
Figure 4 for LSTM-based Anomaly Detection for Non-linear Dynamical System
Viaarxiv icon