# Reinforcement Learning

> Implement reinforcement learning for adaptive game AI

- Skill: `lgrappag/reinforcement-learning` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lgrappag/reinforcement-learning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lgrappag/reinforcement-learning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: LgrappaG (https://skillmd.com/u/lgrappag)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/lgrappag/reinforcement-learning

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# Reinforcement Learning

Implement reinforcement learning for adaptive game AI

## Risk Level
**HIGH**

## Core Rules
- Stabilize training
- validate rewards
- test convergence

## Response Pattern

### When Using This Skill
1. Configure RL environment
2. train agents
3. validate behavior
4. Ensure performance meets requirements

## Usage Contexts
- Adaptive AI
- agent learning

## What NOT to Do
- Training instability
- reward hacking
- divergence

## Key Requirements
- Understand the use cases before application
- Follow the documented response pattern
- Validate results in the target environment
- Monitor for performance impact

## Further Learning
Review related skills and documentation for deeper understanding of related systems and best practices.