Stanford CS330 (2019 ver.)을 듣고 정리한 자료입니다.
CS 330 Deep Multi-Task and Meta Learning
[CS330] Lecture 1: Introduction & Overview
[CS330] Lecture 2: Multi-task & Meta-learning Basics
[CS330] Lecture 3: Optimization-based Meta-learning
[CS330] Lecture 4: Non-parametric(metric-based) Meta-learners
[CS330] Lecture 5: Bayesian Meta-learning
[CS330] Lecture 6: Reinforcement Learning Primer
[CS330] Lecture 7: POMDP, PEARL (guest lecture)