Home› Projects› q-transformer

q-transformer

by lucidrains · GitHub

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

# artificial-intelligence# attention-mechanisms# deep-learning# offline-learning

⭐ Stars

407

🍴 Forks

📜 License

MIT

Commercial use OK

📅 Created

2023

🔄 Last commit

1 yr ago

🏷️ Category

artificial-intelligence

💻 Language

🖥️ Self-hostable

Likely

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

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

❓ Frequently asked questions

Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind

q-transformer is an open-source project. It is released under the MIT license.

Yes. q-transformer 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.

[![OpenSourceAI](https://opensourceai.tech/badge.php?tool=lucidrains-q-transformer)](https://opensourceai.tech/project/lucidrains-q-transformer.html)