Miyembe / frl_swarmLinks
Federated Deep Reinforcement Learning for Swarm Robotic Systems
☆10Updated 3 years ago
Alternatives and similar repositories for frl_swarm
Users that are interested in frl_swarm are comparing it to the libraries listed below
Sorting:
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆19Updated 2 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- ☆11Updated 2 years ago
- This is the code for paper: Scalable Federated Multi-agent Architecture forNetworked Communication Scenarios☆20Updated 3 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- [INFOCOM 2022] AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning☆54Updated 2 years ago
- [ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning☆24Updated 3 years ago
- Decision making using Reinforcement Learning☆22Updated 5 years ago
- Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning☆63Updated last year
- Codes for the paper "AoI Aware Radio Resource Management of Autonomous Platoons via Multi Agent Reinforcement Learning"☆21Updated 2 years ago
- Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)☆38Updated 6 years ago
- Hybrid action space reinforcement learning algorithms.☆13Updated 4 years ago
- Code for "Context-aware Communication for Multi-agent Reinforcement Learning"☆23Updated last year
- ☆14Updated 4 years ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆11Updated last year
- This repository contains the Python implementation of our submitted paper titled "Deep Reinforcement Learning for Joint Trajectory and Co…☆13Updated 11 months ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆12Updated last year
- ☆41Updated 3 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆18Updated 6 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 3 years ago
- [TMC 2021] Distributed and Energy-Efficient Mobile Crowdsensing with Charging Stations by Deep Reinforcement Learning☆28Updated 3 years ago
- You can find code and data of an energy-saving deep learning algorithm for ABSS with UAV here.☆10Updated 6 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- ☆12Updated last year
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆11Updated 6 years ago
- [TMC 2023] Delay-Sensitive Energy-Efficient UAV Crowdsensing by Deep Reinforcement Learning☆54Updated 3 years ago
- Multi-task Multi-agent Soft Actor Critic for SMAC☆12Updated 3 years ago
- Fully Cooperative Multi-Agent Deep Reinforcement Learning☆27Updated 5 years ago
- ☆15Updated 5 years ago
- Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT☆33Updated last year