add-reward

What problem does it solve?

This skill guides developers through implementing and integrating new reward functions into the AReaL reinforcement learning framework. It covers file structure, registration, testing, and best practices to ensure deterministic, non-blocking rewards.

Core Features & Use Cases

• Create new reward modules in areal/reward/<name>.py.
• Register the reward function in areal.reward.init so it can be selected by name.
• Test rewards locally with small, deterministic examples to ensure consistent behavior.

Quick Start

Start by drafting a new reward function following the template in areal/reward and registering it in areal.reward.init.