Companion webpage to the book "Mathematics For Machine Learning"

An educational resource to help anyone learn deep reinforcement learning.

Efficient baselines for autocurricula in JAX.

RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

Notes and exercise solutions for second edition of Sutton & Barto's book

Simple and easily configurable grid world environments for reinforcement learning

Implementations of robust Dual Curriculum Design (DCD) algorithms for unsupervised environment design.

Python Implementation of Reinforcement Learning: An Introduction