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该项目当前未满足“两个有效维度 + 两种数据源”的主榜门槛。

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可观测采用度缺失
动量当前有效 · 2026-09-12
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关注度当前有效 · 2026-09-12
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方法论 v2.0 · 快照 2026-09-12 · 超过 2 天视为过期

项目介绍

Train multi-step agents for real-world tasks using GRPO.

W&B Training (Serverless RL) is the first publicly available service for flexibly training models with reinforcement learning. It manages your training and inference infrastructure automatically, letting you focus on defining your data, environment and reward function—leading to faster feedback cycles, lower costs, and far less DevOps.

ART is an open-source RL framework that improves agent reliability by allowing LLMs to learn from experience. ART provides an ergonomic harness for integrating GRPO into any python application. For a quick hands-on introduction, run one of the notebooks below. When you're ready to learn more, check…

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