BIT-MCS / DRL-SIMLinks
[TITS 2021] Social-aware incentive mechanism for vehicular crowdsensing by deep reinforcement learning
☆16Updated 3 years ago
Alternatives and similar repositories for DRL-SIM
Users that are interested in DRL-SIM are comparing it to the libraries listed below
Sorting:
- [INFOCOM 2020] Multi-Task-Oriented Vehicular Crowdsensing: A Deep Learning Approach☆14Updated 3 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆27Updated 3 years ago
- [INFOCOM 2021] Mobile Crowdsensing for Data Freshness: A Deep Reinforcement Learning Approach☆15Updated 3 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆53Updated 2 years ago
- [INFOCOM 2020] Energy-Efficient UAV Crowdsensing with Multiple Charging Stations by Deep Learning☆17Updated 3 years ago
- Code for paper Social-Aware Incentive Mechanism for Vehicular Crowdsensing by Deep Reinforcement Learning☆23Updated 3 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆26Updated 3 years ago
- A framework that exploits the potentials of distributed federated learning and double deep Q-networks to minimize joint energy and delay …☆11Updated 4 years ago
- ☆29Updated 2 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆21Updated 4 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆35Updated last year
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆59Updated 3 years ago
- [ICDE 2020] Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach☆18Updated 3 years ago
- ☆73Updated 2 years ago
- User allocation in Mobile Edge Computing Environment using Reinforcement Learning☆32Updated 3 years ago
- [ToN 2024] Ensuring Threshold AoI for UAV-assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning with Transformer☆39Updated last year
- [JSAC 2019] Energy-Efficient Distributed Mobile Crowd Sensing: A Deep Learning Approach☆15Updated 3 years ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆21Updated 4 years ago
- ☆26Updated 4 years ago
- ☆75Updated 3 years ago
- Decision making using Reinforcement Learning☆24Updated 5 years ago
- qiongwu86 / Resource-allocation-for-twin-maintenance-and-computing-tasks-in-digital-twin-mobile-edge-network☆33Updated 2 weeks ago
- ☆35Updated 3 years ago
- ☆36Updated 2 years ago
- 车联网环境☆17Updated 2 months ago
- [KDD 2021] Energy-Efficient 3D Vehicular Crowdsourcing for Disaster Response by Distributed Deep Reinforcement Learning☆18Updated 3 years ago
- hizircanbayram / FeDQN-A-Federated-Learning-Approach-for-Training-Reinforcement-Learning-Agent-of-Atari-GamesFeDQN is a federated pipeline for training reinforcement learning agent of atari game, the Pong, developed during my first semester at Is…☆24Updated 4 years ago
- ☆84Updated 2 years ago
- Source Code for paper "Joint Computing, Pushing and Caching Optimization for Mobile Edge Computing Networks via Soft Actor-Critic Learnin…☆64Updated 7 months ago
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆23Updated 2 years ago