PokerRL
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Build and test AI agents that play poker using advanced learning techniques.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeFramework for Multi-Agent Deep Reinforcement Learning in Poker
PokerRL has 532 stars on GitHub. It has been forked 105 times. PokerRL is written mainly in Python. It has been in active development since 2019. PokerRL is available under the MIT license. Its main topics are deep-learning, framework, gym-environment, poker.
What is PokerRL?
Framework for Multi-Agent Deep Reinforcement Learning in Poker
Is PokerRL open source?
PokerRL is an open-source project. It is released under the MIT license.
Is PokerRL free?
Yes. PokerRL is free and open source — you can use, modify and self-host it.
What license does PokerRL use?
PokerRL is available under the MIT license.
What language is PokerRL written in?
PokerRL is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/ericsteinberger-pokerrl.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.