Synopsis
Chap. 1 - Intrinsically Motivated Learning Systems: An Overview.- Chap. 2 - Intrinsic Motivation and Reinforcement Learning.- Chap. 3 - Functions and Mechanisms of Intrinsic Motivations.- Chap. 4 - Exploration from Generalization Mediated by Multiple Controllers.- Chap. 5 - Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity.- Chap. 6 - The Role of the Basal Ganglia in Discovering Novel Actions.- Chap. 7 - Action Discovery and Intrinsic Motivation: A Biologically Constrained Formalisation.- Chap 8 - Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots.- Chap. 9 - Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures.- Chap. 10 - The Hippocampal-VTA Loop: The Role of Novelty and Motivation in Controlling the Entry of Information into Long-Term Memory.- Chap. 11 - Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM).- Chap. 12 - Intrinsically Motivated Affordance Discovery and Modeling.- Chap. 13 - Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints.- Chap. 14 - Investigating the Origins of Intrinsic Motivation in Human Infants.- Chap. 15 - A Novel Behavioural Task for Researching Intrinsic Motivations.- Chap. 16 - The "Mechatronic Board": A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots.- Chap. 17 - The iCub Platform: A Tool for Studying Intrinsically Motivated Learning.
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