Alternatives and similar repositories for DRL-SIM:

Users that are interested in DRL-SIM are comparing it to the libraries listed below

• BIT-MCS / DRL-eFresh
  [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
  ☆44Updated 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-SIM
  [TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning
  ☆16Updated 2 years ago
• jjzgeeks / FL-DLT3
  Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT
  ☆28Updated 9 months ago
• paperflight / Fed-MF-MAL
  This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios
  ☆18Updated 3 years ago
• qiongwu86 / VEC_DRL_Doppler
  ☆25Updated 3 years ago
• 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"
  ☆14Updated 9 months 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
• subratpp / mec_alloc_rl
  User allocation in Mobile Edge Computing Environment using Reinforcement Learning
  ☆26Updated 2 years ago
• qiongwu86 / URLLC-Awared-Resource-Allocation-for-Heterogeneous-Vehicular-Edge-Computing
  ☆32Updated 2 years ago
• BIT-MCS / DRL-UCS-AoI-Threshold
  [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer
  ☆23Updated 11 months ago
• qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network
  ☆20Updated 7 months ago
• BIT-MCS / e-Divert
  [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
  ☆26Updated 2 years ago
• yyds-xtt / DRL-TOBS
  Codes for the paper titled Online Joint Task Offloading and Resource Management in Heterogeneous Mobile Edge Environments.
  ☆13Updated 2 years ago
• BIT-MCS / jPPO-ConvNTM
  [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
  ☆16Updated 2 years ago
• lidongyang1 / CS-UPL
  ☆14Updated last year
• yyds-xtt / PeerJ-Computer-Science
  ☆32Updated 2 years ago
• Baloo123456 / TETC-DQN-DQN-NN
  ☆12Updated 3 years ago
• HuangHanzhong / HDLOA
  Learning-Based Load-Aware Heterogeneous Vehicle Edge Computing
  ☆33Updated 10 months ago
• qlt315 / UCMEC_env
  Deep Reinforcement Learning Environments for User-Centric Mobile Edge Computing
  ☆23Updated 9 months ago
• chenbq / ICC_2022_CBQ
  ICC 2022 submit paper code
  ☆25Updated last year
• zhuzhongzhi-50 / MEC_RL_UAV
  ☆18Updated 10 months ago
• neardws / Incentive-based-Probability-Update-and-Strategy-Selection
  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.
  ☆44Updated 2 years ago
• pseudo-rnd-thoughts / Online-Flexible-Resource-Allocation
  Flexible resource allocation for edge cloud computing with reinforcement learning
  ☆33Updated 4 years ago
• lingling0 / paper-code
  data routing and caching with DRL in vehicular network
  ☆19Updated 4 years ago
• qiongwu86 / MIMO-D2D
  code
  ☆12Updated last year
• frbinucci / MultiUserExtensionPartialOffloading
  Minimum Energy Resource Allocation Strategy with partial offloading
  ☆11Updated 3 years ago
• sumit521 / Profit_Optimization_MEC
  ☆21Updated last year
• qlt315 / JO-CDSD
  Simulation code of our paper in IEEE Transactions on Mobile Computing: ''Joint Optimization of Base Station Clustering and Service Cachi…
  ☆45Updated 8 months ago