TensorAeroSpace

PyTorch + Gymnasium framework for aerospace control. Deep RL (SAC, PPO, DDPG, DQN, IHDP, ET-DHP) and adaptive controllers (AIDI, MPC, iADP) on nonlinear F-16/B747/UAV/satellite sims. Includes in-flight damage modeling, real-time 3D flight viewer, TensorBoard/WandB, Optuna. EN/RU docs.

🛫 Unity environment for training autonomous aircraft control agents using Deep Reinforcement Learning. Features realistic aerodynamics, ML-Agents integration, dynamic weather, and Docker support.

📘 Tutorial: Integrating Simulink models with Python using ctypes. Step-by-step guide on generating C code from Simulink, compiling to shared libraries (.so/.dll), and running simulations from Python.