MountainCarRL

Repository for RL-based Mountain Car problem-solving.

About

This repository contains an advanced and professional Jupyter Notebook file named CarMountain.ipynb that focuses on solving the Mountain Car problem using reinforcement learning (RL) techniques. The goal of this problem is to train an agent to navigate a car to reach the top of a mountain by applying suitable RL algorithms.

Repository Structure

The repository has the following structure:

• CarMountain.ipynb: This Jupyter Notebook file contains the main code for solving the Mountain Car problem using RL techniques.

Getting Started

To get started with this repository, follow these steps:

1. Clone the repository:

   git clone https://github.com/MohamadsalehMoradpoor/MountainCarRL.git
   

2. Open the CarMountain.ipynb notebook using Jupyter or any compatible environment.

3. Follow the instructions in the notebook to understand the problem and run the code.

Requirements

The following dependencies are required to run the code:

• Python 3.6+
• Jupyter Notebook
• RL libraries (e.g., TensorFlow, OpenAI Gym)

Make sure you have these dependencies installed before running the code.

Contributions

Contributions to this repository are welcome. If you have any ideas or improvements, feel free to open an issue or submit a pull request.