ART
Observation pool · not formally ranked
This project does not currently meet the main index requirement of two current dimensions across two source types.
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
- Stars 10.7k
- Forks 983
- Commits 1.4k
- Releases 59