fwilhelmi / Multi-Agent-Reinforcement-Learning-Methods-to-Minimize-OBSS-Interferences
Code used for the master thesis at MIIS (UPF)
☆16Updated 8 years ago
Alternatives and similar repositories for Multi-Agent-Reinforcement-Learning-Methods-to-Minimize-OBSS-Interferences:
Users that are interested in Multi-Agent-Reinforcement-Learning-Methods-to-Minimize-OBSS-Interferences are comparing it to the libraries listed below
- Trajectory design and bandwidth assignment for UAV_GBS intergated network☆18Updated 4 years ago
- Implementation of various reinforcement learning algorithms in examples obtained from the book "Reinforcement Learning: An Introduction, …☆10Updated 3 years ago
- The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT D…☆68Updated last year
- ☆27Updated 4 years ago
- This is deep reinforcement learning implementation of a research paper mainly based on the wireless communication☆8Updated 2 years ago
- A simple and short implementation of the Q-Learning Reinforcement Algorithm in Matlab☆44Updated 9 years ago
- using actor-critic method to dealing with the path-planning UAV problem☆17Updated 5 years ago
- Hover a UAV in MATLAB using Deep Reinforcement Learning.☆13Updated last year
- Path planning for UAVs in the presence of threat zones using convex optimization.☆24Updated 10 years ago
- The goal is to find an optimal path for UAV to gather more data in WSN.☆7Updated last year
- UAV path planning for data gathering using reinforcement learning, i.e. Q-learning.☆6Updated last year
- planning trajectories for UAVs☆11Updated 3 years ago
- Optimal placement of uav through machine learning methods in 4G newtwork☆9Updated 4 years ago
- Using OpenStreetMap (organized by MyGeoData) data to model building, customer, and vendor locations in San Francisco, New York City, and …☆8Updated last year
- Optimal Multihop Ad-hoc Route Deployment☆45Updated last year
- A simulator for User Equipment association in UAV-empowered Emergency Networks based on Game Theory and developed in the context of Compu…☆15Updated 3 years ago
- Implementation of Single-Agent and Multi-Agent Reinforcement Learning Algorithms. MATLAB.☆62Updated 6 years ago
- Matlab implementation of a safe and minimum energy trajectory planning for quadrotor unmanned aerial vehicles, testing a single UAV in en…☆12Updated 4 years ago
- Using two team game theory, we can make the truck platoons resilient against any malicious attack.☆11Updated 5 years ago
- UAV's 3D path planning algorithm with MATLAB☆15Updated 4 years ago
- An optimized DDPG algorithm for autonomous path planning of UAV in network-unavailable environment☆33Updated 2 years ago
- This source code is my thesis implementation in MATLAB which clusters Mobile Wireless Sensors using Genetic and Bacterial conjugation Alg…☆16Updated last year
- Deep Reinforcement Learning tool that places Unmanned Aerial Vehicles☆15Updated 2 years ago
- Mixed integer linear programming of multiple obstacle avoidance trajectory design.☆18Updated 8 years ago
- ☆59Updated 2 years ago
- Repository of code for journal paper "Positioning and power optimization for UAV-assisted networks in the presence of eavesdroppers: A mu…☆19Updated 2 years ago
- Matlab code for our CCA 2016 paper "Fast Algorithms for UAV Tasking and Routing"☆19Updated 2 years ago
- UAV trajectory design (DQN)☆13Updated 3 years ago
- This is the source code using deep Q learning for calculate UAV resource allocation☆30Updated 3 years ago
- ☆14Updated 3 years ago