train-rl

What problem does it solve?

This Skill helps users create and train reinforcement learning (RL) agents using the ART framework, simplifying the process of fine-tuning language models with experience.

Core Features & Use Cases

• Interactive Wizard: Guides users through setting up RL training by asking targeted questions.
• Flexible Training: Supports both single-turn and multi-turn agent interactions.
• Reward Methods: Accommodates programmatic rewards and LLM-as-judge (RULER) scoring.
• Use Case: Train an agent to play a text-based adventure game by defining the game's rules, actions, and a reward function, then generating a training script.

Quick Start

Use the train-rl skill to start an interactive session to create a reinforcement learning training script for a new agent.