Welcome to the Deep Reinforcement Learning Mastery repository! This project hosts an interactive and comprehensive roadmap designed to guide you through the exciting world of Deep Reinforcement Learning (DRL), from foundational math to advanced generalization techniques and practical projects.
Whether you're a beginner looking to get started or an experienced practitioner aiming to solidify your knowledge and explore cutting-edge research, this roadmap provides a structured learning path.
- Interactive Roadmap: Navigate through Math Foundations, Deep Learning Fundamentals, Core RL Algorithms, Representation & Generalization, and Research & Projects phases. Each phase is broken down into weeks, topics, and subtopics.
- Clickable Subtopic Summaries: Click any subtopic to reveal a concise, on-demand explanation right within the page.
- Knowledge Quizzes: Test your understanding with interactive quizzes for each major section, complete with instant feedback and detailed explanations.
- Math Exercises: Practice your mathematical skills with categorized exercises (Easy, Medium, Hard) across Probability, Linear Algebra, Calculus, and Optimization. Click a button to reveal step-by-step solutions for each problem.
- Structured 15-Week Schedule: A detailed timeline to help you systematically progress through core DRL concepts.
- Essential Resources: Curated lists of recommended books, online courses, research papers, articles, tools, and environments.
- Progress Tracking: Monitor your learning journey with a dynamic checklist that updates your overall progress, topics completed, and more. Your progress is saved locally in your browser!
- Study Timer: A built-in timer to help you manage and track your study sessions.
- Responsive Design: Optimized for various screen sizes, from desktops to mobile devices.
To use this interactive roadmap, simply clone this repository and open the RL_Learning_Roadmap.html file in your web browser.
git clone https://github.com/mahursh/RL_Learning.git
cd RL_Learning
open RL_Learning_Roadmap.html # or simply double-click the file in your file explorerThis repository contains:
RL_Learning_Roadmap.html: The main interactive roadmap web page.resources/: (Optional, based on your setup) A folder where you can store supplementary book PDFs or other downloaded materials mentioned in the roadmap.resources/books/: (Example path) Your collection of DRL and math textbooks.