Design a computer system using tree search and reinforcement learning algorithms : Understanding the Environment of Cart

The video tutorial explores the concept of environments in OpenAI Gym, focusing on how agents interact with these environments to develop strategies. It covers the process of resetting and stepping through environments, introduces the basics of reinforcement learning, and provides an overview of the SARSA algorithm. The tutorial concludes with coding a solution for the CartPole environment.

What is the purpose of resetting the environment in reinforcement learning?

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How do agents interact with their environment according to the video?

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