I Overview Articles. - 1 Learning To Learn: Introduction and Overview. - 2 A Survey of Connectionist Network Reuse Through Transfer. - 3 Transfer in Cognition. - II Prediction. - 4 Theoretical Models of Learning to Learn. - 5 Multitask Learning. - 6 Making a Low-Dimensional Representation Suitable for Diverse Tasks. - 7 The Canonical Distortion Measure for Vector Quantization and Function Approximation. - 8 Lifelong Learning Algorithms. - III Relatedness. - 9 The Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness. - 10 Clustering Learning Tasks and the Selective Cross-Task Transfer of Knowledge. - IV Control. - 11 CHILD: A First Step Towards Continual Learning. - 12 Reinforcement Learning With Self-Modifying Policies. - 13 Creating Advice-Taking Reinforcement Learners. - Contributing Authors. Language: English