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Learning Sequential Decision Rules Using Simulation Models and Competition

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Some Studies in Machine Learning Using the Game of Checkers. I
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Knowledge Growth in an Artificial Animal
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A Theory and Methodology of Inductive Learning
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Classifier Systems and the Animat Problem
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Genetic Algorithms in Noisy Environments
inferredcites →https://doi.org/10.1007/bf00113896openalex-snapshot
Classifier Systems that Learn Internal World Models
inferredcites →https://doi.org/10.1007/bf00113898openalex-snapshot
Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms
inferredcites →https://doi.org/10.1007/bf00115009openalex-snapshot
Learning to Predict by the Methods of Temporal Differences
inferredcites →https://doi.org/10.1007/bf00116878openalex-snapshot
Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding
inferredcites →https://doi.org/10.1016/0004-3702(83)90016-4openalex-snapshot
A theory and methodology of inductive learning
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Qualitative process theory
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Utilizing Experience for Improving the Tactical Manager
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50027-4openalex-snapshot
Explanations of Empirically Derived Reactive Plans
inferredcites →https://doi.org/10.1109/tsmc.1986.289288openalex-snapshot
Optimization of Control Parameters for Genetic Algorithms
inferredcites →https://doi.org/10.1147/rd.33.0210openalex-snapshot
Some Studies in Machine Learning Using the Game of Checkers
inferredcites →https://doi.org/10.1147/rd.441.0206openalex-snapshot
Some studies in machine learning using the game of checkers
inferredcites →https://doi.org/10.21236/ada465743openalex-snapshot
Qualitative Process Theory
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
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An Analysis Of The Behavior Of A Class Of Genetic Adaptive Systems.
inferredcites →https://doi.org/10.7551/mitpress/1090.001.0001openalex-snapshot
Adaptation in Natural and Artificial Systems

What points at this work

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Introduction
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Genetic Reinforcement Learning for Neurocontrol Problems
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Living Computers
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Copyright Page
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Dedication
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Preface
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Notes
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Introduction
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How to Clone Oneself?
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Self-organizing Molecules
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Informed Self-organization
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The Simplest Life
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Evolving Replicators
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Life on Earth
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Evolution as a Ratchet of Information
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From DNA to Language
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Genetics-based machine learning and behavior-based robotics: a new synthesis
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Reinforcement learning is direct adaptive optimal control
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A Methodology for Missile Countermeasures Optimization under Uncertainty
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Genetic Algorithms and Artificial Life
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Genetic and Non-Genetic Operators in ALECSYS
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Physically Realistic Motion Synthesis in Animation
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Classifier Fitness Based on Accuracy
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Search-Intensive Concept Induction
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An Analysis of the “Universal Suffrage” Selection Operator
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Forming Neural Networks Through Efficient and Adaptive Coevolution
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Putting More Genetics into Genetic Algorithms
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Evolving Controllers for Real Robots: A Survey of the Literature
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The Evolution of Strategies for Multiagent Environments
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Using Genetic Algorithms to Learn Reactive Control Parameters for Autonomous Robotic Navigation
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Adding Temporary Memory to ZCS
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An On-Line Method to Evolve Behavior and to Control a Miniature Robot in Real Time with Genetic Programming
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An Indexed Bibliography of Genetic Algorithms
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Evolutionary Computation in Practice
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Direct Marketing Performance Modeling Using Genetic Algorithms
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Vehicle Motion Control Using Genetic Algorithm. 1st Report. Urgent Obstacle Avoidance Steering.
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Vehicle Motion Control Using Genetic Algorithm. 2nd Report, Emergency Avoidance by Steering and Braking.
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The Application of Cognitive Diagnostic Approaches Via Neural Network Analysis of Serious Educational Games
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Adaptive control of pulse phase in a chirped-pulse amplifier
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EXPLORING THE RELATIONSHIP OF THE CLOSENESS OF A GENETIC ALGORITHM’S CHROMOSOME ENCODING TO ITS PROBLEM SPACE
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Comparing Learning Classifier System and Reinforcement Learning with Function Approximation
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Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation
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Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm
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Evolutionary Algorithms for Reinforcement Learning
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Estudios sobre sistemas adaptativos con aplicaciones en la robótica autónoma y los agentes inteligentes
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Adapting the Evaluation Space to Improve Global Learning,
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Reinforcement Learning is Direct Adaptive Optimal Control
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Using a genetic algorithm to learn behaviors for autonomous vehicles
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A Method for Knowledge Discovery and Development with Health Data
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An Incremental Learning Method for Data Mining from Large Databases
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