huhuhuhuhuhuhu112211

huhuhuhuhuhuhu112211's Stars

• JiShuWang/BPR

  "BPR: Blockchain-Enabled Efficient and Secure Parking Reservation Framework with Block Size Dynamic Adjustment Method", has been published in IEEE Transactions on Intelligent Transportation Systems.

  Language:Jupyter Notebook43

• liampetti/DDPG

  Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces

  Language:Python6515

• SpongeF/DDPG_MEC

  Language:Python182

• cycraig/MP-DQN

  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

  Language:Python18751

• wozaimoyu/Power_Allocation_DDPG

  Simulation code for "Downlink Power Control for Cell-Free Massive MIMO with Deep Reinforcement Learning" by Lirui Luo, Jiayi Zhang, Shuaifei Chen, Bo Ai, and Derrick Wing Kwan Ng, IEEE Transactions on Vehicular Technology.

  1

• FIVEYOUNGWOO/DQN-Based-Power-Allocation-For-Multi-Cell-Massive-MIMO

  Deep Q network-based power allocation for multi-cell massive MIMO cellular network.

  Language:Jupyter Notebook146

• Kiven-ykw/DHDRL

  Distributed Two-tier DRL Framework for Cell-Free Network: Association, Beamforming and Power Allocation

  Language:Python358

• chikaihsieh/Power-Allocation-and-User-Device-Association-with-Deep-Reinforcement-Learning

  Language:Python183

• Sanmu123-lab/DRL

  Deep Reinforcement Learning

  11

• Sanmu123-lab/joint-computation-offloading-and-resource-allocation

  joint computation offloading and resource allocation in Internet of Vehicle

  11

• Sanmu123-lab/my_MEC_program

  I build this Mobile Edge Computation simulating environment all by myself, and use the costomized ddpg reinforcement learning algorithm to make offloading decision.

  21

• davidtw0320/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

  Language:Python322100

• linkpark/RLTaskOffloading

  Language:Python10329

• dongba1/Mobile-Edge-Computing-pyt

  移动边缘计算

  1

• dongba1/Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning

  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

  1

• dongba1/Paper-with-Code-of-Wireless-communication-Based-on-DL

  无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

  1

• dongba1/Power-Allocation-and-User-Device-Association-with-Deep-Reinforcement-Learning

  强化学习+用户关联

  1

• dongba1/CellFreeCLCA_RL

  强化学习+关联 simulation of paper: Joint Cooperation Clustering and Content Caching in Cell-Free Massive MIMO Networks

  1

• dongba1/Task-Offloading-and-Resource-Allocation-for-Multi-Server-Mobile-Edge-Computing-Networks

  多服务器移动边缘计算网络的任务卸载和资源分配

  1

• sunzhengyu/Machine-Learning-Algorithm-for-Vehicular-Communication-Networks

  Language:Python12

• Frost-Armor/Multi-Agent-Reinforcement-Learning-in-NOMA-Aided-UAV-Networks-for-Cellular-Offloading

  Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'

  Language:Python638

• yyds-xtt/Multi-Agent-Reinforcement-Learning-in-NOMA-Aided-UAV-Networks-for-Cellular-Offloading

  Code for the paper 'Multi-Agent Reinforcement Learning in NOMA-Aided UAV Networks for Cellular Offloading'

  3

• HuangHanzhong/HDLOA

  Learning-Based Load-Aware Heterogeneous Vehicle Edge Computing

  323

• QianLiu6767/UAV_RL_Maximize_Throughput

  UAV-based MEC to maximize user throughput via reinforcement learning

  Language:Python8624

• yyds-xtt/NOMA-MEC

  A general framework for NOMA-MEC offloading

  1

• yyds-xtt/Offloading_to_Vehicles_2

  41

• mhauskn/dqn-hfo

  Language:C++7823

• opendilab/DI-engine

  OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.

  Language:Python3k366

• IIT-Lab/sumo-rl

  A simple interface to instantiate Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with Gym Env from OpenAI and MultiAgentEnv from RLlib.

  Language:Python1

• IIT-Lab/Optimal_Resource_Allocation_using_Reinforcement_Learning

  Decision making using Reinforcement Learning

  198