Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach

A PyTorch library for all things nonlinear control and reinforcement learning.

Thesis: Application of Reinforcement Learning for the Control of Nonlinear Dynamical Systems

Paper: Reinforcement Learning-Based Adaptive Finite-Time Performance Constraint Control for Nonlinear Systems

Reinforcement Learning is used to augment the incremental nonlinear dynamic inversion (INDI) control law for quadcopter drone trajectory tracking - Course project AA229 Stanford

Dynamic adaptive learning for precise control of strict-feedback nonlinear systems. Harnessing TensorFlow, it seamlessly incorporates reinforcement learning techniques, such as actor-critic, ensuring efficient and resilient adaptation of the control system.

Project for Optimal Control and Reinforcement Learning (16-745) course at CMU. Solving nonlinear trajectory optimization problem for multiple robot arms in a workspace.

Master’s thesis project: Reinforcement Learning (TD3) for active suspension control in car-like robots. Includes nonlinear quarter-car model, ISO 8608 road profiles, and comparison with LQR & PID.

This repository contains MATLAB code used in the paper: "Hybrid Nonlinear Control and Reinforcement Learning-Based Strategy for Brain Tumor Mitigation"

MARL-CC: A Mathematical Framework for Multi-Agent Reinforcement Learning in Connected Autonomous Vehicles: Addressing Nonlinearity, Partial Observability, and Credit Assignment for Optimal Control

F-16 6 DoF model based on a paper by Morelli, designed for use as a gym environment for reinforcement learning of nonlinear control

A rigorous simulation and control framework for the double pendulum on a cart, utilizing Lagrangian mechanics for precise dynamics. Implements a custom reinforcement learning agent (PPO) to master the highly nonlinear swing-up and stabilization task.