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Use ART to train agents for many different tasks.

Notebooks

ART Notebooks

Train your own multi-turn agents with **ART**, an open-source framework for LLM reinforcement learning using GRPO.

ART Docs

Get started with ART in a few quick steps.

Quick Start

Installation + Setup

Frequently Asked Questions

Learn how inference and training work within ART.

Training Loop

ART Training Loop

ART Client

Learn the underlying architecture of the ART backend

ART Backend

Learn how to use RULER to automatically reward your agents.

RULER

Train a summarizer model to outperform Sonnet 4 and GPT-4.1.

Summarizer

Summarizer Tutorial

Models

Supported Models

Terms and definitions used in the ART docs.

Agent Task	Notebook	Description	Performance
2048	🏋️ Train agent	Qwen 2.5 3B learns to play 2048
Temporal Clue	🏋️ Train agent	Qwen 2.5 7B learns to solve Temporal Clue	[Link coming soon]
Tic Tac Toe	🏋️ Train agent	Qwen 2.5 3B learns to play Tic Tac Toe
Codenames	🏋️ Train agent	Qwen 2.5 3B learns to play Codenames

Get Started

Fundamentals

Tutorials

Resources

ART Notebooks