PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Code repository for the second edition of the Deep Reinforcement Learning Hands-On book, implementing RL algorithms in PyTorch.
Not currently ranked — collecting fresh signals.
star history
This repository contains Jupyter Notebook and Python code examples from the Packt book ‘Deep Reinforcement Learning Hands-On, Second Edition’. It covers deep reinforcement learning topics including policy gradients, DQN, A2C, PPO, and other RL algorithms. The code is maintained across multiple branches corresponding to different PyTorch versions, allowing readers to experiment with and run the book’s examples.
Frequently asked
- What is PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition?
- Code repository for the second edition of the Deep Reinforcement Learning Hands-On book, implementing RL algorithms in PyTorch.
- Is Deep-Reinforcement-Learning-Hands-On-Second-Edition open source?
- Yes — PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition is open source, released under the MIT license.
- What language is Deep-Reinforcement-Learning-Hands-On-Second-Edition written in?
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition is primarily written in Jupyter Notebook.
- How popular is Deep-Reinforcement-Learning-Hands-On-Second-Edition?
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition has 1.3k stars on GitHub.
- Where can I find Deep-Reinforcement-Learning-Hands-On-Second-Edition?
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition is on GitHub at https://github.com/PacktPublishing/Deep-Reinforcement-Learning-Hands-On-Second-Edition.