> For the complete documentation index, see [llms.txt](https://alfredo-reyes-montero.gitbook.io/openai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alfredo-reyes-montero.gitbook.io/openai/application/mountain-car-problem.md).

# Mountain Car Problem

Reinforcement learning (RL) is the branch of machine learning that deals with learning from interacting with an environment where feedback may be delayed. Although RL is a very powerful tool that has been successfully applied to problems ranging from the optimization of chemical reactions to teaching a computer to play video games.

OpenAI Gym is a Python package comprising a selection of RL environments, ranging from simple “toy” environments to more challenging environments, including simulated robotics environments and Atari video game environments.

It was developed with the aim of becoming a standardized environment and benchmark for RL research.

![](https://4213617597-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LqMg4qkOis4QLHkiBUK%2F-LqccJ-c7NScxroKpP3v%2F-LqcdmHxA4UhOnmM_MY7%2Fimage.png?alt=media\&token=69c6ffb4-bcdd-4586-a0c0-cc5da94351b9)