GitHub
ART
#321 of 964 in the AI Agent Index
18 Score
Real usage —
Momentum —
Attention 73
About
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…
Across sources
10.5k Stars
- Stars 10.5k
- Forks 960
- Commits 1.3k
- Releases 58