Hands-On-Reinforcement-Learning-With-Python
by sudharsan13296 · GitHub
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
# asynchronous-advantage-actor-critic# deep-deterministic-policy-gradient# deep-learning-algorithms# deep-q-network
⭐ Stars
860
🍴 Forks
323
📜 License
—
License not specified📅 Created
2018
🔄 Last commit
5 yr ago
🏷️ Category
asynchronous-advantage-actor-critic
💻 Language
You maintain this project?
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
📈 Star history
2026-07-202026-07-21
📄 About
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
❓ Frequently asked questions
What is Hands-On-Reinforcement-Learning-With-Python?
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Is Hands-On-Reinforcement-Learning-With-Python open source?
Hands-On-Reinforcement-Learning-With-Python is an open-source project.
Is Hands-On-Reinforcement-Learning-With-Python free?
Yes. Hands-On-Reinforcement-Learning-With-Python is free and open source — you can use, modify and self-host it.
🏅 Maintainer of this project?
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://opensourceai.tech/project/sudharsan13296-hands-on-reinforcement-learning-with-python.html)
🧬 Related projects🧬 View the DNA map →
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
★ 9.5k · a3c
pytorch-a3c
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods…
★ 1.3k · a3c
jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action…
★ 757 · batch-reinforcement-learning