🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Experiment with reinforcement learning algorithms quickly using JAX for single-agent scenarios.
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Free · no card · unsubscribe anytime🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Stoix has 415 stars on GitHub. It has been forked 48 times. Stoix is written mainly in Python. It has been in active development since 2024. Stoix is available under the Apache-2.0 license. Its main topics are anakin, deep-reinforcement-learning, distributed-reinforcement-learning, end-to-end.
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Stoix is an open-source project. It is released under the Apache-2.0 license.
Yes. Stoix is free and open source — you can use, modify and self-host it.
Stoix is available under the Apache-2.0 license.
Stoix is written mainly in Python.
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