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Genetic Programming Theory and Practice XVI

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Cover of 'Genetic Programming Theory and Practice XVI'

Table of Contents

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    Book Overview
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    Chapter 1 Exploring Genetic Programming Systems with MAP-Elites
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    Chapter 2 The Evolutionary Buffet Method
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    Chapter 3 Emergent Policy Discovery for Visual Reinforcement Learning Through Tangled Program Graphs: A Tutorial
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    Chapter 4 Strong Typing, Swarm Enhancement, and Deep Learning Feature Selection in the Pursuit of Symbolic Regression-Classification
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    Chapter 5 Cluster Analysis of a Symbolic Regression Search Space
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    Chapter 6 What Else Is in an Evolved Name? Exploring Evolvable Specificity with SignalGP
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    Chapter 7 Lexicase Selection Beyond Genetic Programming
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    Chapter 8 Evolving Developmental Programs That Build Neural Networks for Solving Multiple Problems
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    Chapter 9 The Elephant in the Room: Towards the Application of Genetic Programming to Automatic Programming
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    Chapter 10 Untapped Potential of Genetic Programming: Transfer Learning and Outlier Removal
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    Chapter 11 Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning
Attention for Chapter 1: Exploring Genetic Programming Systems with MAP-Elites
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