# What is Reinforcement Learning Agent?

It is a software unit that learns to make the right decisions by gaining rewards through trial and error.

## Overview
This artificial intelligence unit receives a reward for every correct move it makes while moving in an environment and a penalty for a wrong move. Over time, he discovers the best strategy to reap the most rewards. It has a self-developing learning process.

*Analogy: It's like a player trying to learn a new game without reading the rules, just by seeing you win and lose points.*

## How it works
The system first makes random moves, analyzes the results, and saves the successful results in its memory to make more accurate decisions next time.

## Where it is used
It is widely used in robotic systems, gaming artificial intelligence, and automated stock trading strategies.

## Commonly confused with
Unlike bots that work with standard programmed rules, it creates its own strategy with experience.

## Frequently asked questions
**Do these units always get it right?**
No, they just try to find the most efficient path according to the given reward mechanism.


## Related terms
- [AI Agent](/en/dictionary/ai-agent/)
- [Autonomous Agent](/en/dictionary/autonomous-agent/)
- [Machine Learning](/en/dictionary/machine-learning/)

## Related tools
- [Prime Agent](/en/discover/prime-agent/)

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