PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
Implementation of the real-time MPC based on iLQR in Carla simulator
iterative Linear Quadratic Regulator with constraints.
A toolbox for trajectory optimization of dynamical systems
Autonomous racing using ILQR and JAX.
Model-based Policy Gradients
An implementation of model-predictive control algorithms using TensorFlow 2
Thesis: Application of Reinforcement Learning for the Control of Nonlinear Dynamical Systems
MPC, iLQR, Stanley, Pure Pursuit Controllers in AWSIM using ROS2
Differential Dynamic Programming python implementation for a cartpole system
Non-linear trajectory optimization via iLQR/DDP.
Optimal control solver implemented in Python. SymPy for symbolic differentiation and Numba for fast computation.
Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.
Repository of Reinforcement Learning projects done during the course @sapienza
First homework for the RL class
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