# What is RLM Agent?

> Reinforcement Learning Model Agent

A software unit that learns through trial and error with reward and punishment mechanisms.

## Overview
This unit gains or loses one point for each move it makes while performing a mission. Over time, he becomes an expert by developing strategies that will get the highest score. It is used for artificial intelligence to discover how to do something on its own.

*Analogy: Teaching a dog a new trick is like giving him a treat when he gets it right and ignoring him when he gets it wrong.*

## How it works
The agent sets a goal, makes a move, receives feedback from its environment and updates its next move based on this feedback.

## Where it is used
It is used in game-playing systems, robotic motion control and areas where complex strategic decisions must be made.

## Commonly confused with
It can be confused with classical software rules; These systems follow experience, not pre-written rules.

## Frequently asked questions
**Does RLM agent always get it right?**
No, sometimes it can develop strange behavior due to incorrect reward mechanisms.

**Is human intervention required?**
Human intervention is often required initially to determine reward criteria.


## Related terms
- [RLHF](/en/dictionary/rlhf/)
- [Autonomous Agent](/en/dictionary/autonomous-agent/)
- [AI Agent](/en/dictionary/ai-agent/)

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Source: TreScout Dictionary · https://trescout.com/en/dictionary/rlm-agent/