University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has been implemented in Matlab.
-
Updated
Nov 22, 2020 - MATLAB
University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has been implemented in Matlab.
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
C# source code for simulation of the cart and pole balancing task.
Comparative study: Quantum vs. classical models for Cart Pole. Examining entanglement layers and data re-uploading, highlighting quantum model superiority.
A simple DQN implementation in Unity3D.
Cart pole balancing
first attempts on deep RL techniques
Using Genetic programming for sloving balancing double pendulum problem. The works demonstrates the difference of control performance by using non-Markov and Markov decision process
The Inverted Pendulum Balancing Robot is an introductory research project to reinforcement learning carried out as part of an entrance exam to the "Grandes Ecoles d'Ingénieurs" of the French engineering school system.
Modern applied deep learning with reinforcement methodology.
Q Learning model for a cart-pole problem
A simple fully connected network can be learned by genetic algorithm.
Collection of examples for Reinforcement Learning
Q_learning for cart pole
This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.
Reinforcement Learning with Cart Pole Game
Matlab codes for learning Robotics
Add a description, image, and links to the cart-pole topic page so that developers can more easily learn about it.
To associate your repository with the cart-pole topic, visit your repo's landing page and select "manage topics."