neardws / Game-Theoretic-Deep-Reinforcement-Learning

Code of Paper "Potential Game Based Channel Allocation for Vehicular Edge Computing (基于势博弈的车载边缘计算信道分配方法)", 电子学报2021.

中文学术主页

Simulation code for the book “Optimal Resource Allocation in Coordinated Multi-Cell Systems” by Emil Björnson and Eduard Jorswieck, Foundations and Trends in Communications and Information Theory, vol...

Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"

使用Drl来解决多智能体卸载问题

#计算机科学#Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"

Deep reinforcement learning for mobile edge computing

Spectrum sharing in vehicular networks based on multi-agent reinforcement learning, IEEE Journal on Selected Areas in Communications

#计算机科学#Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

Graph-based resource sharing in vehicular communication, IEEE Transactions on Wireless Communications

JOINT RESOURCE ALLOCATION AND TRAJECTORY OPTIMIZATION FOR MULTI-UAV-ASSISTED MULTI-ACCESS MOBILE EDGE COMPUTING

joint computation offloading and resource allocation in Internet of Vehicle

Resource allocation for D2D-enabled vehicular communications, IEEE Transactions on Communications

Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Towards Decentralized Task Offloading and Resource Allocation in User-Centric Mobile Edge Computing''

Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU

TransEdge: Task Offloading with GNN and DRL in Edge Computing-Enabled Transportation System