Markov Decision Processes 2 - Reinforcement Learning | Stanford CS221: AI (Autumn 2019)

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: Topics: Reinforcement learning, Monte Carlo, SARSA, Q-learning, Exploration/exploitation, function approximation Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University Associate Professor Percy Liang Associate Professor of Computer Science and Statistics (courtesy) Assistant Professor Dorsa Sadigh Assistant Professor in the Computer Science Department & Electrical Engineering Department To follow along with the course schedule and syllabus, visit: #schedule