Episode description
Erin Talvitie of Harvey Mudd College spoke with us about machine learning, hallucinating data, and making good decisions based on imperfect predictions.
Paper we discussed: Self-Correcting Models for Model-Based Reinforcement Learning
Erin’s grant: Using Imperfect Predictions to Make Good Decisions
For a reinforcement learning book, Erin suggests Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto or the lecture series by David Silver.
For a machine learning book, Elecia likes Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron