rlve
RLVE supports language model reinforcement learning with adaptive, verifiable environments for generating problems and evaluating model outputs.
Pick a small issue you can reproduce, then fix it with your AI coding agent.
Share on XLicense: MIT
Overview
RLVE is a research project for scaling reinforcement learning with language models using adaptive, verifiable environments. RLVE-Gym provides environments that generate problems from a random seed and difficulty parameters managed by an environment-specific controller. Developers can turn generated problems into prompts, score model outputs, and inspect verification details. Answer extraction can be configured with markers. The README documents setup with Docker and the slime framework, and links to the paper, code, data, and models.
Key features
- Generate problems from a random seed and controller-selected difficulty parameters.
- Create prompts from generated problems and score model outputs.
- Inspect verification details and configure markers for answer extraction.
Best for
Researchers and developers using verifiable problems to build or evaluate language model reinforcement learning workflows.
- Upstream
- Zhiyuan-Zeng/RLVE
- Fork on GitHub
- Guo-astro/rlve
- Upstream stars
- 258
- Category
- AI agents and LLM tools
- License
- MIT
- Forked
- 2026-10-17
- Sync status
- In syncLast synced 2026-11-08
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