BIT-MCS / DRL-SIM

Related projects: ⓘ

• BIT-MCS / DRL-MTVCS
  [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach
  ☆14Updated 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 / human_drone_SC
  [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning
  ☆23Updated 2 years ago
• BIT-MCS / GCRL-min-AoI
  [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning
  ☆43Updated last year
• BIT-MCS / e-Divert
  [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning
  ☆23Updated 2 years ago
• nuomizai / DRL-SIM
  Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning
  ☆21Updated 2 years ago
• BIT-MCS / Edics
  [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach
  ☆13Updated 2 years ago
• BIT-MCS / DRL-eFresh
  [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning
  ☆39Updated 2 years ago
• paperflight / Fed-MF-MAL
  This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios
  ☆17Updated 3 years ago
• BIT-MCS / jPPO-ConvNTM
  [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning
  ☆14Updated 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
  ☆18Updated 7 months ago
• jjzgeeks / FL-DLT3
  Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT
  ☆24Updated 5 months ago
• qiongwu86 / AFLDDPG
  ☆23Updated last year
• subratpp / mec_alloc_rl
  User allocation in Mobile Edge Computing Environment using Reinforcement Learning
  ☆27Updated 2 years ago
• qiongwu86 / URLLC-Awared-Resource-Allocation-for-Heterogeneous-Vehicular-Edge-Computing
  ☆25Updated 2 years ago
• qiongwu86 / MIMO-D2D
  code
  ☆10Updated last year
• IIT-Lab / Optimal_Resource_Allocation_using_Reinforcement_Learning
  Decision making using Reinforcement Learning
  ☆19Updated 4 years ago
• BIT-MCS / DRL-CEWS
  [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach
  ☆15Updated 2 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"
  ☆12Updated 5 months ago
• Baloo123456 / TETC-DQN-DQN-NN
  ☆12Updated 3 years ago
• isdai / MADRL-PPO
  ☆10Updated this week
• qiongwu86 / VEC_DRL_Doppler
  ☆25Updated 2 years ago
• BIT-MCS / DRL-DisasterVC
  [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning
  ☆13Updated 2 years ago
• nishantkr18 / federated-model-averaging-for-DQN
  In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…
  ☆17Updated 3 years ago
• lry-bupt / Visual_MARL
  The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.
  ☆16Updated last year
• chenbq / ICC_2022_CBQ
  ICC 2022 submit paper code
  ☆24Updated 9 months ago
• majidsina / drl
  Deep Reinforcement Learning for Offloading and Resource Allocation in Vehicle Edge Computing and Networks
  ☆14Updated 2 years ago
• neardws / Multi-Agent-Deep-Reinforcement-Learning
  Multi-Agent-Deep-Reinforcement-Learning
  ☆8Updated last year
• linkpark / pomdp-service-migration
  ☆26Updated 2 years ago
• jds311 / Deep-Reinforcement-Learning-for-Resource-Allocation-in-V2V-Communication
  ☆14Updated 2 years ago