Reading material

• Textbook on reinforcement learning (Sutton & Barto)

• Textbook on deep learning (MIT press): https://www.deeplearningbook.org/

• Textbook on Gaussian processes for ML (MIT press)

• Online, easy-to-read articles about machine learning and data science. A good place to look for a concept for the first time: https://towardsdatascience.com

Online lectures and courses

• Online course on machine learning by Andrew Ng

• Kaggle micro-courses

• Reinforcement learning lectures by David Silver

• MIT Introduction to Deep Learning 2021

Coding resources

• An easy guide to ALL reinforcement learning algorithms: https://stable-baselines.readthedocs.io/en/master/

• Educational resource for deep reinforcement learning: https://spinningup.openai.com/en/latest/