# Getting Started with the Agent Reinforcement Trainer (ART)

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-10-22T16:27:39.000Z  
> **Category:** OPEN_SOURCE  
> **Impact Score:** 90/100  
> **Primary Source:** [CoreWeave](https://wf.coreweave.com/blog/getting-started-with-the-agent-reinforcement-trainer-art)  
> **Canonical Citation:** [https://spidits.com/timeline/getting-started-with-the-agent-reinforcement-trainer-art](https://spidits.com/timeline/getting-started-with-the-agent-reinforcement-trainer-art)

## Executive Summary
Get started with Agent Reinforcement Trainer (ART), an open-source framework for training LLM agents with reinforcement learning, including rollouts, rewards, GRPO, and W&B integration.

## Why It Matters (Strategic Analysis)
ART transitions LLM optimization from static next-token supervised training to dynamic policy refinement based on execution rewards. Standardizing GRPO rollouts and structured reward functions enables developers to programmatically align multi-step agent actions with operational goals.

## Referenced Coverage & Sources
- **[CoreWeave](https://wf.coreweave.com/blog/getting-started-with-the-agent-reinforcement-trainer-art)**: Getting started with the Agent Reinforcement Trainer (ART) — _Get started with Agent Reinforcement Trainer (ART), an open-source framework for training LLM agents with reinforcement learning, including rollouts, rewards, GRPO, and W&B integration._

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