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.
python reinforcement-learning uav drone plane simulation aerospace deep-reinforcement-learning pytorch control-systems aircraft nonlinear-dynamics gymnasium adaptive-control model-predictive-control aerospace-engineering flight-control f16 fault-tolerant-control damage-modeling
-
Updated
Sep 21, 2026 - Jupyter Notebook