Implement Monte Carlo tree search algorithms for AI projects using this library.
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 anytimeMonte Carlo tree search in JAX
mctx has 2.6k stars on GitHub. It has been forked 208 times. mctx is written mainly in Python. It has been in active development since 2022. mctx is available under the Apache-2.0 license. Its main topics are jax, monte-carlo-tree-search, reinforcement-learning.
What is mctx?
Monte Carlo tree search in JAX
Is mctx open source?
mctx is an open-source project. It is released under the Apache-2.0 license.
Is mctx free?
Yes. mctx is free and open source — you can use, modify and self-host it.
What license does mctx use?
mctx is available under the Apache-2.0 license.
What language is mctx written in?
mctx is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/google-deepmind-mctx.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.