Bjxx's Stars
louisnino/RLcode
fangvv/UAV-DDPG
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
ZYunfeii/UAV_Obstacle_Avoiding_DRL
This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.
young-how/DQN-based-UAV-3D_path_planer
RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, DDPG).
MLJejuCamp2017/DRL_based_SelfDrivingCarControl
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
Cyclotron2333/Task-Offloading-and-Resource-Allocation-for-Multi-Server-Mobile-Edge-Computing-Networks
heleidsn/UAV_Navigation_DRL_AirSim
This is a new repo used for training UAV navigation (local path planning) policy using DRL methods.
navuboy/rl_ardrone
Autonomous Navigation of UAV using Reinforcement Learning algorithms.
sunghoonhong/AirsimDRL
Autonomous UAV Navigation without Collision using Visual Information in Airsim
huashishaojie/IDS-CNN
使用卷积神经网络进行网络入侵检测,正确率可达99.5%
maxbrenner-ai/Multi-Agent-Distributed-PPO-Traffc-light-control
multi agent RL for traffic light control in Sumo using distributed PPO
jiong1998/offloading-optimization-and-resource-optimization-base-on-mobile-edge-computing-net
基于边缘计算网络的卸载优化及资源优化
BIT-MCS/DRL-EC3
[JSAC 2018] Energy-Efficient UAV Control for Effective and Fair Communication Coverage: A Deep Reinforcement Learning Approach
PretentiousOnPurpose/NOMASystem
A MATLAB implementation of an OFDM based Power Domain NOMA System
JohannesAutenrieb/mission_planning
Mission Planning & Task Allocation - Team A for UAV Swarm Project for BAE Systems UAV Swarm Challenge
pengguo318/MaDRLAM
Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs
cly1994jlu/UARA-DRL
This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in heterogenous networks. The model is basd on deep-Q-network (DQN) and DDQN.
shiqiangw/service-migration-mdp
Code for paper "Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process"
qiyu3816/MTFNN-CO
[IEEE TMC 2020] "Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach" and [IEEE GlobeCom 2023] "A Multi-Head Ensemble Multi-Task Learning Approach for Dynamical Computation Offloading" by TensorFlow
qlt315/NOMA-MEC-IoVT
Simulation code of our paper in IEEE Transactions on Vehicular Technology: ''Joint Transmission and Resource Optimization in NOMA-assisted IoVT with Mobile Edge Computing"
Emmanuel-Naive/MATD3
Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships
qlt315/UCMEC_COMMAG
Simulation code and mathematic details of our paper in IEEE Communications Magazine: ''When the User-Centric Network Meets Mobile Edge Computing: Challenges and Optimization''
Scorks/GAN_DRL_IDS
Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks
lok-i/DRLPathPlanner
-A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques
Shalini-lodhi/Multi_UAV_Mobile_Edge_Computing
Mobile edge computing networks based on Unmanned Aerial Vehicles
ghub-c/DRLDBackEnd
Deep Reinforcement Learning methods for an autonomous drone
demhahero/RIS-in-vehicular-networks-via-DRL
Deep Reinforcement Learning and BCD to solve phase shift and resource allocation of RIS and RSU
RealVNF/distributed-drl-coordination
Distributed Online Service Coordination Using Deep Reinforcement Learning
ilyas3169/Vehicular_Fog_Computing_Latency_based_Optimization
This is the MATLAB based simulation of optimized Vehicular Fog Computing framework that minimizes the latency during the computatin tasks offloading in the whole VFC based scenario...
laurendudu/optimization-and-iov
Optimizing edge server positions in a task offloading IoV context.