Alternatives and similar repositories for Edics:

Users that are interested in Edics are comparing it to the libraries listed below

• BIT-MCS / jPPO-ConvNTM
  [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
  ☆16Updated 2 years ago
• BIT-MCS / e-Divert
  [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
  ☆26Updated 2 years ago
• BIT-MCS / DRL-eFresh
  [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
  ☆48Updated 2 years ago
• BIT-MCS / GCRL-min-AoI
  [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning
  ☆49Updated last year
• BIT-MCS / DRL-UCS-AoI-Threshold
  [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer
  ☆25Updated last year
• BIT-MCS / DRL-CEWS
  [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach
  ☆16Updated 2 years ago
• BIT-MCS / DRL-freshMCS
  [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach
  ☆14Updated 2 years ago
• BIT-MCS / DRL-DisasterVC
  [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
  ☆14Updated 2 years ago
• BIT-MCS / DRL-MTVCS
  [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
  ☆14Updated 2 years ago
• BIT-MCS / human_drone_SC
  [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning
  ☆24Updated 2 years ago
• BIT-MCS / DRL-SIM
  [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning
  ☆16Updated 2 years ago
• zhuzhongzhi-50 / MEC_RL_UAV
  ☆21Updated last year
• qiongwu86 / DDPG-RIS-MADDPG-POWER
  ☆24Updated 8 months ago
• qiongwu86 / MIMO-D2D
  code
  ☆12Updated 2 years ago
• qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network
  ☆22Updated 9 months ago
• chenyuhaoCYH / DRL
  车联网环境
  ☆17Updated last year
• OCEAN-HL / DRL-based-long-term-resource-management-in-MEC-network
  ☆24Updated 2 years ago
• qiongwu86 / VEC_DRL_Doppler
  ☆26Updated 3 years ago
• ruihuili / DRL_UAV_CellularNet
  Simulator developed for the mobility management of UAV base stations project featuring A3C
  ☆14Updated 5 years ago
• qlt315 / UCMEC_env
  Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing
  ☆24Updated 11 months ago
• jds311 / Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-Communication
  ☆18Updated 3 years ago
• subratpp / mec_alloc_rl
  User allocation in Mobile Edge Computing Environment using Reinforcement Learning
  ☆29Updated 2 years ago
• cheng123-123ng / RL-based-UAV-trajectory-design
  ☆17Updated last year
• Baloo123456 / TETC-DQN-DQN-NN
  ☆12Updated 4 years ago
• chenbq / ICC_2022_CBQ
  ICC 2022 submit paper code
  ☆26Updated last year
• M-Parvini / V2X-RRM-IEEE-OJ-COMS-2024
  Simulation code for the paper "Resource Allocation in V2X Networks: From Classical Optimization to Machine Learning-based Solutions"
  ☆16Updated 11 months ago
• ZelinJi / Resource_allocation_D3QN_framework
  D3QN framework for distributed resource allocation
  ☆15Updated 8 months ago
• qiongwu86 / URLLC-Awared-Resource-Allocation-for-Heterogeneous-Vehicular-Edge-Computing
  ☆33Updated 2 years ago
• liuchunhui2134 / Resource-allocation-and-route-plannig-for-UAVs
  ☆21Updated 2 years ago
• DreamweaverU / DRL-HAPS-UAV-Enabled-HeNets
  HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach
  ☆10Updated last year