A robust hybrid framework fusing NMPC and Residual Reinforcement Learning (TD3) for safe, zero-shot tracking of aggressive quadrotor trajectories.
-
Updated
Aug 31, 2026 - MATLAB
A robust hybrid framework fusing NMPC and Residual Reinforcement Learning (TD3) for safe, zero-shot tracking of aggressive quadrotor trajectories.
Research-driven RL project analyzing TD3 vs DDPG for autonomous driving. Multi-metric evaluation across reward, crash rate, and stability under reward shaping and sensor noise, with a custom Pygame environment using continuous control and raycasting sensors.
Add a description, image, and links to the td3-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the td3-algorithm topic, visit your repo's landing page and select "manage topics."