Learning and problem-solving with multilayer connectionist systems (adaptive, strategy learning, neural networks, reinforcement learning)

Optimal Ordered Problem Solver

Machine Learning

SELECTED AI-RELATED DISSERTATIONS

ACM SIGART Bulletin

A Study of Structural and Parametric Learning in XCS

Evolutionary Computation

A note on the variance of rank-based selection strategies for genetic algorithms and genetic programming

Genetic Programming and Evolvable Machines

Restricted gradient-descent algorithm for value-function approximation in reinforcement learning

Artificial Intelligence

Improving generalization for temporal difference learning: The successor representation

Neural Computation

Reinforcement learning: a survey

Journal of Artificial Intelligence Research

Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning

Autonomous Agents and Multi-Agent Systems

Continuous state/action reinforcement learning: A growing self-organizing map approach

Neurocomputing

Reinforcement learning approach to goal-regulation in a self-evolutionary manufacturing system

Expert Systems with Applications: An International Journal