UAV Control Dataset for Comparative Analysis of A3C and DDPG Reinforcement Learning Algorithms in Simulation

This dataset contains flight data collected from simulations of an autonomous quadrotor UAV using the AirSim simulation platform. The dataset was specifically designed for the comparative evaluation of two reinforcement learning algorithms: Asynchronous Advantage Actor-Critic (A3C) and Deep Deterministic Policy Gradient (DDPG). The data enables the reproduction of key performance metrics, such as trajectory tracking accuracy (RMSE), control stability (CSI), energy consumption, and response time.