JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
Explore and test various learning tasks in grid-like environments for AI research.
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 anytimeJAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
xland-minigrid has 343 stars on GitHub. It has been forked 27 times. xland-minigrid is written mainly in Python. It has been in active development since 2023. xland-minigrid is available under the Apache-2.0 license. Its main topics are jax, meta-reinforcement-learning, minigrid, python.
JAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
xland-minigrid is an open-source project. It is released under the Apache-2.0 license.
Yes. xland-minigrid is free and open source — you can use, modify and self-host it.
xland-minigrid is available under the Apache-2.0 license.
xland-minigrid is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/dunnolab-xland-minigrid.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.