Suggested further readings# Tutorial 1: The problem of changing data distributions# Environment and Distribution Shift Tutorial 2: Continual learning# Continual Lifelong Learning with Neural Networks: A Review ContinualAI A Comprehensive Survey of Continual Learning: Theory, Method and Application Brain-inspired replay for continual learning with artificial neural networks Tutorial 3: Meta-learning# Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks An Interactive Introduction to Model-Agnostic Meta-Learning Tutorial 4: Biological meta reinforcement learning# Meta-Learning by the Baldwin Effect Prefrontal cortex as a meta-reinforcement learning system Reinforcement Learning, Fast and Slow Tutorial 5: Replay# Experience Replay for Continual Learning