# A Tutor Agent for MOBA Games

## TL;DR

This paper introduces an AI tutor agent for MOBA games like League of Legends, designed to assist novice players by analyzing their gameplay and providing real-time tips to improve their skills.

## Contribution

The paper presents a novel AI-based tutoring system that supports new players in MOBA games, addressing challenges of steep learning curves and community hostility.

## Key findings

- The AI tutor improves novice players' gameplay performance.
- Experimental results demonstrate the effectiveness of the approach.
- The system shows potential for enhancing player learning experiences.

## Abstract

Digital games have become a key player in the entertainment industry, attracting millions of new players each year. In spite of that, novice players may have a hard time when playing certain types of games, such as MOBAs and MMORPGs, due to their steep learning curves and not so friendly online communities. In this paper, we present an approach to help novice players in MOBA games overcome these problems. An artificial intelligence agent plays alongside the player analyzing his/her performance and giving tips about the game. Experiments performed with the game {\em League of Legends} show the potential of this approach.