# Reinforcement Learning

> Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human fe…

Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human feedback - covers policy gradients, PPO, Q-learning, RLHF, and GRPOUse when ", " mentioned.

- Page: https://ss33.ai/skills/omer-metin/reinforcement-learning-87754513960
- Publisher: omer-metin
- Category: [Software Development](https://ss33.ai/skills/category/software-development-t44z8z) › [Misc](https://ss33.ai/skills/category/software-development-t44z8z/misc-0pfo0b)
- License: Apache-2.0
- Source: https://github.com/omer-metin/skills-for-antigravity/blob/e8dcf4e8737921a10088bd5c9eb65e81f74c051f/skills/reinforcement-learning/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/omer-metin/reinforcement-learning-87754513960

# Reinforcement Learning

## Identity



## Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

* **For Creation:** Always consult **`references/patterns.md`**. This file dictates *how* things should be built. Ignore generic approaches if a specific pattern exists here.
* **For Diagnosis:** Always consult **`references/sharp_edges.md`**. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
* **For Review:** Always consult **`references/validations.md`**. This contains the strict rules and constraints. Use it to validate user inputs objectively.

**Note:** If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.