Intro-to-RL-2021

Resources and Assignments for Introduction to Reinforcement Learning, Semester Project 2021

Assignments

1. Imitation Learning

General Instructions

Using your Local Machine

1. Fork the repo on GitHub: Use the button at the top right.

2. Clone the project to your machine

   git clone https://github.com/${your_username}/Intro-to-RL-2021.git

3. Commit your solutions to your own branch:

   Create a new branch by

   git checkout -b ${your_branch_name}

4. Push your work back up to your fork:

   Navigate to the top-level repo directory and:

   git add .
   git commit -m "commit message"
   git push origin ${your_branch_name} 

5. Update the repo on your system by setting an upstream to the main branch of this repository and then running -

   git fetch upstream
   git checkout main
   git merge upstream/main

Using Google Colab

You can alternatively do everything from Google Colab (less ideal), with the following changes to the above process.

1. Mount your Google Drive to Colab. (Go to File Browser > Mount Drive when you run a notebook for the first time).

   If for some reason Drive doesn't automatically get mounted, add and run the following cell at the beginning of the notebook.

   from google.colab import drive
   drive.mount('/content/drive')

2. Follow the above instructions after changing your working directory to drive/MyDrive/${Preferred Directory} by running

   %cd drive/MyDrive/${Preferred Directory}
   

   Remember to start every command with a ! (eg. !git clone ${repo_link}).