Getting Started

How to get started with Rl

1

Review Documentation

Visit https://verl.readthedocs.io to understand the framework overview and agent framework details.

2

Integrate with LLM Infrastructure

Use verl's modular APIs to connect with existing LLM frameworks such as PyTorch FSDP or vLLM.

3

Build RL Dataflows

Construct reinforcement learning dataflows using the hybrid programming model with minimal code.

4

Configure Device Mapping

Set up flexible GPU device mapping and parallelism across clusters to optimize training performance.

5

Train with HuggingFace Models

Leverage ready integration with HuggingFace models for reinforcement learning training.