Skip to content

Archive

Home Browse Courses Talks Study Paths

Directory

Institutions Speakers

Library

Playlists

Full university courses, lectures, and study paths—free of ads and clutter.

Archive

All Lectures
University Courses
Standalone Talks
Guided Study Paths
Institutions
Speakers

Workspace

Saved Library
Study Notebook
About & Mission
Help & Feedback
RSS Feed
Sitemap

Disciplines

Systems & CS
Engineering & Control
Theory & Algorithms
Biology & Neuro
AI & Machine Learning
Economics & Finance
Mathematics
Philosophy & Ethics
Physics & Cosmology
History & Humanities

© 2026 Lectern·Independent Academic Archive·Made in NYC

Press ⌘K to search · ? for shortcuts

/

Academic Discipline

AI & Machine Learning

Deep learning, language models, reinforcement learning, statistical learning theory, representation learning, and vision.

10courses·88standalone talks·215total lectures

Subfields

All AI & ML215 Deep Learning81 Language Models & NLP73 Reinforcement Learning36 Statistical Learning & Causality35 Computer Vision & Graphics28 Mechanistic Interpretability, Alignment & World Models27 Active Inference, Cybernetics & Artificial Life2

Reinforcement Learning— Markov decision processes, value iteration, Q-learning, policy gradients, exploration, and planning.

4 topics

All Reinforcement Learning Policy Gradients & Imitation Learning16 MDPs, Bellman Equations & Q-Learning15 Monte Carlo Tree Search2 Policy Optimization2

jknavigate↵watchcchaptersssavexwatched

Save

Introduction to Reinforcement Learning (CS234, 2024, Lecture 1)

Introduction to Reinforcement Learning (CS234, 2024, Lecture 1)

AI & ML·Standalone Lecture·MDPs, Bellman Equations & Q-Learning · Emma Brunskill · Stanford University

Stanford University

—

1:19:08

More categories

Systems & CS (447)Mathematics (434)Physics & Cosmology (414)History & Humanities (377)Philosophy & Ethics (265)Biology & Neuroscience (281)Economics & Finance (336)Algorithms & Theory (340)Engineering & Robotics (213)

Stanford Online · Reinforcement Learning

1