Design a computer system using tree search and reinforcement learning algorithms : Running a Visualization of the Cart R

The video introduces reinforcement learning using OpenAI Gym, focusing on setting up and visualizing the CartPole environment. It covers importing necessary libraries, creating and resetting the environment, rendering it, and sampling random actions. The video concludes with a summary and hints at future topics, emphasizing the ease of using OpenAI Gym for various environments.

Describe the process of resetting an environment in OpenAI Gym.

What are some of the environments that can be used with OpenAI Gym, as mentioned in the video?

What is the significance of sampling a random action from the action space?