Stanford

Lecture 14 – Batch Reinforcement Learning (Stanford)

Lecture 2 – Given a Model of the World (Stanford)

Lecture 3 – Model-Free Policy Evaluation (Stanford)

Lecture 4 – Model Free Control (Stanford)

Lecture 6 – CNNs and Deep Q Learning (Stanford)

Lecture 7 – Imitation Learning (Stanford)

Lecture 8 – Policy Gradient I (Stanford)

Lecture 9 – Policy Gradient II (Stanford)

 Lecture 1 – Introduction (Stanford)

 Lecture 15 – Monte Carlo Tree Search (Stanford)

 Lecture 5 – Value Function Approximation (Stanford)

Cosmology Lecture 1

Cosmology Lecture 10

Cosmology Lecture 2

Cosmology Lecture 3

Cosmology Lecture 4

Cosmology Lecture 5

Cosmology Lecture 6

Cosmology Lecture 7

Cosmology Lecture 8

Cosmology Lecture 9

AI Systems and Visual Intelligence at the Network Edge (Stanford)

Autonomous Driving: AI's Biggest Endeavor (Stanford)

Defining Problems as a Tool for Maximizing Systemic Impact (Stanford)

Energy: From an Engineering Perspective (Stanford)