LEARNING-REINFORCEMENT-LEARNING

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📖 Table of Contents

• 📖 Table of Contents
• 📍 Overview
• 📂 Repository Structure
• ⚙️ Modules
• 🚀 Getting Started
  • 🔧 Installation
• 🛣 Project Roadmap
• 👏 Acknowledgments

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📍 Overview

This repository serves as a comprehensive documentation of my journey in learning about reinforcement learning, primarily focusing on fundamental concepts

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📂 Repository Structure

└──  Learning-Reinforcement-Learning/

├──  Actor  Critic.ipynb

├──  build/

│  └──  lib/

│  └──  utils/

├──  DQN.ipynb

├──  dynamic  programming.ipynb

├──  MDP.ipynb

├──  PPO.ipynb

├──  REINFORCE.ipynb

├──  requirements.txt

├──  setup.py

├──  Temporal  Difference.ipynb

├──  utils/

│  └──  rl_utils.py

└──  utils.egg-info/

├──  dependency_links.txt

├──  PKG-INFO

├──  SOURCES.txt

└──  top_level.txt

  

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⚙️ Modules

| Actor_Critic.ipynb|

| DQN.ipynb|

| dynamic_programming.ipynb|

| MDP.ipynb|

| PPO.ipynb|

| REINFORCE.ipynb|

| Temporal_Difference.ipynb|

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🚀 Getting Started

Dependencies

Please ensure you have the following dependencies installed on your system:

- ℹ️ Pytorch

- ℹ️ Gym

- ℹ️ For more seen in requirements.txt

🔧 Installation

1. Clone the Learning-Reinforcement-Learning repository:

git  clone  https://github.com/ayton-zhang/Learning-Reinforcement-Learning

2. Change to the project directory:

cd  Learning-Reinforcement-Learning

3. Install the dependencies:

pip  install  -r  requirements.txt

🛣 Project Roadmap

• ℹ️ Task 1: Implement dynamic programming

• ℹ️ Task 2: Implement Temporal Difference

• ℹ️ Task 3: Implement DQN

• ℹ️ Task 4: Implement REINFORCE

• ℹ️ Task 5: Implement Actor-Critic

• ℹ️ Task 6: Implement PPO

• ℹ️ Task 7: Implement DDPG

• ℹ️ Task 8: Implement Dueling DQN/Double DQN

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👏 Acknowledgments

• Hands-on-RL boyu-ai/Hands-on-RL: https://hrl.boyuai.com/ (github.com).
• 强化学习的数学原理【强化学习的数学原理】课程：从零开始到透彻理解（完结）_哔哩哔哩_bilibili
• Deep reinforcement learning CS 285 (berkeley.edu)

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