Deep Reinforcement Learning based Energy-efficient Task Scheduling for Vehicular Edge Computing
Date:
Description
In this project, we focus on designing an energy-efficient task scheduling strategy based on the Deep Reinforcement Learning (DRL) algorithm, with the target of reducing task completion time and energy consumption in vehicular edge computing scenarios.