This code is the result of the collaboration of RL Turkey team.
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Updated
Feb 21, 2024 - Python
This code is the result of the collaboration of RL Turkey team.
Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator
Reinforcement learning for an AirSim quadrotor implemented in Unity
Drone navigation and obstacle avoidance by deep reinforcement learning and transfer learning (IN PROCESS)
Deep Q-learning in AirSim quadrotor environment.
A 3d cloud mesh is generated from a, set of photos taken from a drone, in airsim environment.
These are two Interfaces to fly drones in AirSim simulator.
Wi-Fi6 Collision avoidance simulator for Microsoft AirSim
Controlling Vehicles with ROS1_bridge and ROS2 on Ubuntu 20.04 - AirSim Simulation Environment
Based on the data generated from FRCNN test, this program shows how the drone will fly according to it.
Entrenament d’un model de IA en un entorn virtual per a la seva aplicació en la extinció d’incendis forestals: Prova de concepte - Universitat Oberta de Catalunya - Treball Final de Grau
Python scripts that flies a drone in AirSim environment and generates data.
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