An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
Scale reinforcement learning tasks for large language models efficiently, improving their performance in complex scenarios.
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ROLL has 3.4k stars on GitHub. It has been forked 311 times. ROLL is written mainly in Python. It has been in active development since 2025. ROLL is available under the Apache-2.0 license. Its main topics are agentic, rlhf, rlvr.
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
ROLL is an open-source project. It is released under the Apache-2.0 license.
Yes. ROLL is free and open source — you can use, modify and self-host it.
ROLL is available under the Apache-2.0 license.
ROLL is written mainly in Python.
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