This repository is a repository for the book "Meta-Learning for Everyone".

This repository is implemented and verified on python 3.8.15.

First, install Anaconda from the link below.

https://www.anaconda.com/

Second, follow the commands below to create a new python environment and activate the created environment.

(base) $ conda create -y -n meta python=3.8.8

(base) $ conda activate meta

(meta) $ conda env list

Next, after cloning this repository, run the following command to install the required packages.

MacOS & Linux user

# User
(meta) $ make init

# Developer
(meta) $ make init-dev

Windows user

# User
(meta) $ "./scripts/window-init.bat"

Meta-SL

For Meta-SL, move to each algorithm folder, run the algorithms using jupyter notebook, and check the results.

(meta) $ jupyter notebook

If you're using Colab, please refer to the Installation of Torchmeta in Colab guide to install Torchmeta.

Meta-RL

For Meta-RL, move to each algorithm folder and run the commands below.

# RL^2
(meta) $ python rl2_trainer.py

# MAML
(meta) $ python maml_trainer.py

# PEARL
(meta) $ python pearl_trainer.py

In the case of Meta-RL, please run the Tensorboard command below to check the results of the meta-training and meta-testing you executed.

(meta) $ tensorboard --logdir=./results

Thanks goes to these wonderful people (emoji key):

Dongmin Lee 💻 📖

Seunghyun Lee 💻 📖

Luna Jang 💻

Seungjae Ryan Lee 💻

This project follows the all-contributors specification. Contributions of any kind welcome!