Contenido del Curso
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Challenge: Multi-Armed Bandits
From this point onward, you will receive coding challenges in Jupyter Notebook format. If you know how to properly setup the environment for such notebooks, feel free to do so. However, we recommend you to use Google Colab, as it offers many advantages over plain Jupyter notebooks. Read this article to learn how Colab works.
How to Open the Notebook and Complete the Tasks?
To open the notebook and complete the tasks, you should follow these steps:
- Download the notebook: you can find the download button at the bottom of this page;
- Open Google Colab: open the website and login with your Google account;
- Open the notebook: use
File > Upload notebook
orFile > Open notebook > Upload
and choose the file you downloaded. If you want to continue working on your tasks after a break, useFile > Open notebook > Recent
and find your notebook in that window; - Follow the instructions: the notebook will contain detailed instructions to the tasks. You should read them before proceeding to the tasks;
- Receive the key: after solving each task, you will receive a part of the key, necessary to complete the chapter. Enter these parts inside of a quiz on the bottom of the page after you finish the challenge to verify that you completed all tasks.
Challenge
In this challenge, you will compare different approaches to solving the multi-armed bandit problem. You will write your own implementations for algorithms you learned about, and see how they work both in stationary and in dynamic environments.
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Sección 2. Capítulo 6