Skip to content
0:00 / 0:00

#reinforcementlearning#cs234#markovdecisionprocesses

Stanford CS234 Reinforcement Learning I Introduction to Reinforcement Learning I 2024 I Lecture 1

Stanford Online

1.3M subscribers • 34 videos on Hallway • University channel

YouTube
  • One of the most-watched uploads on Stanford Online, a conference or university channel Hallway lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
  • Presented by Emma Brunskill, Associate Professor of Computer Science at Stanford University

Beginner. No background in the topic needed.

202K views2 years ago

AI and machine learningReinforcement learningAlgorithms

Emma Brunskill introduces the core concepts, applications, and structure of reinforcement learning in this introductory Stanford lecture.

For more information about Stanford's Artificial Intelligence programs visit: stanford.io/ai To follow along with the course, visit the course website: web.stanford.edu/class/cs234/ Emma Brunskill Associate Professor of Computer Science at Stanford University cs.stanford.edu/people/ebrun/ Learn more about the course and how to enroll: online.stanford.edu/courses/cs234-reinforcement-learning To view all online courses and programs offered by Stanford, visit: online.stanford.edu

Why it's here

A top upload from a listed channel

Stanford Online is on Hallway's list of conference and university channels, and this upload is one of its most-watched talks or lectures. Nobody has recommended it in the communities yet, so it ranks below community picks.