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Deep RL Course
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Course Notes
Course Notes
Conceptual Overview of RL
Conceptual Overview of RL
Week 1: Introduction to RL
Week 2: Value-based Methods
Week 3: Policy-Based Methods
Week 4: Advanced Methods
Week 5: Model-Based Methods
Week 6: Multi-Armed Bandits
RL Methods in Depth
RL Methods in Depth
Introduction to RL in Depth
Week 7: Value-based Methods
Week 8: Policy-Based Methods
Exploration Methods
Imitation Learning
Inverse RL
Offline RL
Multi-Agent RL
Hierarchical RL
Meta-RL
Lectures
Lectures
Week 1: Introduction to RL
Week 2: Value-Based Methods
Week 3: Policy-Based Methods
Week 4: Advanced Methods
Week 5: Model-Based Methods
Week 6: Multi-Armed Bandits
Week 7: Value-Based Theory
Week 8: Policy-Based Theory
Week 9: Advanced Theory
Week 10: Exploration Methods
Week 11: Imitation & Inverse RL
Week 12: Offline Methods
Week 13: Multi-Agent Methods
Week 14: Hierarchical & Meta RL
Week 15: Guest Lectures
Guests
Guests
Richard Sutton
Chris Watkins
Michael Littman
Peter Stone
Jakob Foerster
Nan Jiang
Benjamin Eysenbach
Ian Osband
Jeff Clune
Peter Dayan
Ida Momennejad
Abhishek Gupta
Benjamin Van Roy
Wolfram Schultz
Mark Ho
Pascal Poupart
Peter Norvig
Karl Friston
Amy Zhang
Adam White
Anne Collins
Luis Serrano
Martha White
Christopher Amato
Marlos C. Machado
Recitations
Recitations
Week 1: Introduction to RL
Week 2: Value-Based Methods
Week 3: Policy-Based Methods
Week 4: Advanced Methods
Week 5: Model-Based Methods
Week 6: Multi-Armed Bandits
Week 7: Value-Based Theory
Week 8: Policy-Based Theory
Week 9: Advanced Theory
Workshops
Workshops
Week 1: Introduction to RL
Week 2: Value-Based Methods
Week 3: Policy-Based Methods
Week 4: Advanced Methods
Week 5: Model-Based Methods
Week 6: Multi-Armed Bandits
Homeworks
Homeworks
HW1: Introduction to RL
HW2: Value-Based Methods
HW3: Policy-Based Methods
HW4: Advanced Methods
HW5: Model-Based Methods
HW6: Multi-Armed Bandits
HW7: Value-Based Theory
HW8: Policy-Based Theory
HW9: Advanced Theory
HW10: Exploration Methods
HW11: Imitation & Inverse RL
HW12: Offline Methods
HW13: Multi-Agent Methods
HW14: Hierarchical & Meta RL
Previous Semesters
Prerequisites
Prerequisites
Deep Learning
Game Theory
Linear Algebra
Numerical Optimization
Information Theory
Stochastic Process
Exams
Exams
Spring 2025 Midterm
Spring 2025 Final
Previous Semesters
Journal Club
Journal Club
Journal Club
Poster Session
Poster Session
Poster Session
Spring 2024
Resources
Resources
Resources
Blog
Blog
Blog
Tags
Archive
Archive
February 2025
Categories
Categories
Course Updates
Deep Learning
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