# How it works {% hint style="info" %} This page was generated from content adapted from the [AWS Developer Guide](https://github.com/awsdocs/aws-deepracer-developer-guide.git) {% endhint %} ## Reinforcement learning * **Note**\ Strictly speaking, the environment state refers to everything relevant to the problem. For example, the vehicle's position on the track as well as the shape of the track. The image fed through the camera mounted the vehicle's front does not capture the entire environment state. Hence, the environment is deemed partially observed and the input to the agent is referred to as \*observation \*rather than state. For simplicity, we use *state* and *observation* interchangeably throughout this documentation. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://awsnotes.dendron.so/machine-learning/aws-deepracer/topics/how-it-works.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.