Concerning the emergence of tag-mediated lookahead in classifier systems
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Reinforcement learning architectures for animats
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Lookahead planning and latent learning in a classifier system
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Default hierarchy formation and memory exploitation in learning classifier systems
Default hierarchy formation and memory exploitation in learning classifier systems
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Reinforcement learning for robots using neural networks
Reinforcement learning for robots using neural networks
The evolution of mental models
Advances in genetic programming
Adding temporary memory to ZCS
Adaptive Behavior
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
A Tale of Two Classifier Systems
Machine Learning
Intelligent behavior as an adaptation to the task environment
Intelligent behavior as an adaptation to the task environment
Toward Optimal Classifier System Performance in Non-Markov Environments
Evolutionary Computation
Zcs: A zeroth level classifier system
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
An analysis of generalization in the xcs classifier system
Evolutionary Computation
Hierarchical credit allocation in a classifier system
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
On Using Constructivism in Neural Classifier Systems
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Consideration of Multiple Objectives in Neural Learning Classifier Systems
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
What Is a Learning Classifier System?
Learning Classifier Systems, From Foundations to Applications
A Roadmap to the Last Decade of Learning Classifier System Research
Learning Classifier Systems, From Foundations to Applications
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
A Bigger Learning Classifier Systems Bibliography
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Learning local linear Jacobians for flexible and adaptive robot arm control
Genetic Programming and Evolvable Machines
An examination of evolved behavior in two reinforcement learning systems
Decision Support Systems
| Hi-index | 0.00 |
XCS is a new kind of learning classifier system that differs from the traditional kind primarily in its definition of classifier fitness and its relation to contemporary reinforcement learning. Advantages of XCS include improved performance and an ability to form accurate maximal generalizations. This paper reviews recent research on XCS with respect to representation, internal state, predictive modeling, noise, and underlying theory and technique. A notation for environmental regularities is introduced.