Welcome to the repository for the Reinforcement Learning (RL) course at IUST University! This repository contains resources, assignments, and materials for students enrolled in the course.
- Instructor: Dr. Farahmand
- Teaching Assistant: Hamidreza Asadian
- Email: rliust2024@gmail.com
- Class Time: Every Thursday at 18:00
- Attendance: Rollcall Spreadsheet
This repository serves as a central hub for all course-related materials, including lecture slides, assignments, code samples, and additional resources. It is designed to facilitate learning and collaboration among students and instructors throughout the duration of the course.
- Assignments: Includes assignments and related materials for practical exercises.
- Code Samples: Provides sample code and implementations for reinforcement learning algorithms covered in the course.
- Additional Resources: Supplementary materials, articles, and references to deepen understanding and exploration of reinforcement learning concepts.
To get started with the course materials:
- Clone this repository to your local machine using
git clone. - Explore the different directories to access lecture slides, assignments, and code samples.
- Review the README files within each directory for specific instructions and guidelines.
If you have any questions, concerns, or feedback regarding the course, feel free to reach out to us via email:
- Class Email: rliust2024@gmail.com
We welcome contributions from students to enhance the learning experience for everyone. If you have suggestions for improvements, additional resources, or bug fixes, please feel free to submit a pull request.
This repository is licensed under the MIT License, which means you are free to use, modify, and distribute the contents for educational purposes.