Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

Professor Emma Brunskill, Stanford University
https://stanford.io/3eJW8yT

Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/cs234/index.html

#EmmaBrunskill #reinforcementlearning

Chapters:
0:00 intro
02:20 Reward for Sequence of Decisions
13:23 Imitation Learning vs RL
23:02 Sequential Decision Making
24:42 Example: Robot unloading dishwasher
25:19 Example: Blood Pressure Control
52:04 Key challenges in learning to make sequences of good decisions
54:15 Reinforcement learning example