Deep-Reinforcement-Learning-Hands-On

(★ 3,102)

Hands-on Deep Reinforcement Learning, published by Packt

File Explorer

  • .gitignore
  • download-roboschool.sh
  • install-roboschool.sh
  • LICENSE
  • README.md
  • requirements.txt

# Installation Guide

python
Prerequisites

Setup Steps

pip install -r requirements.txt

Install python package dependencies required for the project.

python Chapter02/02_cartpole_random.py

Run a specific chapter's example python script.

Key Commands

pip install -r requirements.txt

Installs the required libraries specified in requirements.txt.

python Chapter06/02_dqn_pong.py

Runs the reinforcement learning agent training or execution script.

Some environments (e.g., Chapter 13) may require Roboschool and additional environment setup.

# Use via CDN

jsDelivr

jsDelivr serves any public GitHub repository as a CDN with zero setup. Pick a version and a file to get a ready-to-paste link and snippet.

// repository documentation