Q_learning for cart pole
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Updated
Oct 5, 2017 - Jupyter Notebook
Q_learning for cart pole
Q Learning model for a cart-pole problem
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
Disentangling Sources of Uncertainty for Active Exploration (Reinforcement Learning)
University group project concerning the implementation of an iterative learning controller tested on a Cart-Pole system. The code has been implemented in Matlab.
Cart pole balancing
A simple DQN implementation in Unity3D.
Matlab codes for learning Robotics
This is my implementation of Q-Learning on a cart-pole system using OpenAI Gym
A simple fully connected network can be learned by genetic algorithm.
Collection of examples for 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.
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.
Reinforcement Learning with Cart Pole Game
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