Meta-Learning-Study

Meta Learning 스터디

Stanford CS330: Deep Multi-Task and Meta Learning, Fall 2019

Lecture 1. Introduction & Overview

Lecture 2. Multi-Task & Meta-Learning Basics

Lecture 3. Optimization-Based Meta-Learning

Lecture 4. Non-Parametric Meta-Learners

Lecture 5. Bayesian Meta-Learning

Lecture 6. Reinforcement Learning Primer

Lecture 7. Kate Rakelly (UC Berkeley)

Lecture 8. Model-Based Reinforcement Learning

Lecture 9. Lifelong Learning

Lecture 10. Jeff Clune (Uber AI Labs)

Lecture 11. Sergey Levine (UC Berkeley)

Lecture 12. Frontiers and Open Challenges

Lecture 13. Student Literature Review 1

Lecture 14. Student Literature Review 2

Papers