Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Reinforcement learning in Markovian and non-Markovian environments
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
The evolution of mental models
Advances in genetic programming
Memoryless policies: theoretical limitations and practical results
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Adding temporary memory to ZCS
Adaptive Behavior
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Adaptive Behavior
A Tale of Two Classifier Systems
Machine Learning
Knowledge Growth in an Artificial Animal
Proceedings of the 1st International Conference on Genetic Algorithms
A Critical Review of Classifier Systems
Proceedings of the 3rd International Conference on Genetic Algorithms
Learning Policies with External Memory
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Memory Approaches to Reinforcement Learning in Non-Markovian Domains
Memory Approaches to Reinforcement Learning in Non-Markovian Domains
Reinforcement learning with selective perception and hidden state
Reinforcement learning with selective perception and hidden state
Planning and control in stochastic domains with imperfect information
Planning and control in stochastic domains with imperfect information
Classifier fitness based on accuracy
Evolutionary Computation
An analysis of generalization in the xcs classifier system
Evolutionary Computation
Learning finite-state controllers for partially observable environments
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Hidden state and reinforcement learning with instance-based stateidentification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
Reinforced Genetic Programming
Genetic Programming and Evolvable Machines
Classifiers that approximate functions
Natural Computing: an international journal
The anticipatory classifier system and genetic generalization
Natural Computing: an international journal
Evolutionary Computation
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
State of XCS Classifier System Research
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
An Algorithmic Description of XCS
IWLCS '00 Revised Papers from the Third International Workshop on Advances in Learning Classifier Systems
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Recent trends in learning classifier systems research
Advances in evolutionary computing
Strong, Stable, and Reliable Fitness Pressure in XCS due to Tournament Selection
Genetic Programming and Evolvable Machines
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Proceedings of the 10th annual conference companion on Genetic and evolutionary computation
A comparison between ATNoSFERES and Learning Classifier Systems on non-Markov problems
Information Sciences: an International Journal
Analysing Learning Classifier Systems in Reactive and Non-reactive Robotic Tasks
Learning Classifier Systems
Learning Mazes with Aliasing States: An LCS Algorithm with Associative Perception
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Intuitive Action Set Formation in Learning Classifier Systems with Memory Registers
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Discrete dynamical genetic programming in XCS
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Learning classifier systems: a complete introduction, review, and roadmap
Journal of Artificial Evolution and Applications
A Recursive Classifier System for Partially Observable Environments
Fundamenta Informaticae
An experimental comparison between ATNoSFERES and ACS
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Three architectures for continuous action
IWLCS'03-05 Proceedings of the 2003-2005 international conference on Learning classifier systems
Adaption of XCS to multi-learner predator/prey scenarios
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
Adaptive XCSM for perceptual aliasing problems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Proceedings of the 14th annual conference on Genetic and evolutionary computation
A Recursive Classifier System for Partially Observable Environments
Fundamenta Informaticae
A New Architecture for Learning Classifier Systems to Solve POMDP Problems
Fundamenta Informaticae
Learning classifier system with average reward reinforcement learning
Knowledge-Based Systems
Adding memory condition to learning classifier systems to solve partially observable environments
International Journal of Computer Applications in Technology
An examination of evolved behavior in two reinforcement learning systems
Decision Support Systems
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Wilson's (1994) bit-register memory scheme was incorporated into the XCS classifier system and investigated in a series of non-Markov environments. Two extensions to the scheme were important in obtaining near-optimal performance in the harder environments. The first was an exploration strategy in which exploration of external actions was probabilistic as in Markov environments, but internal "actions" (register settings) were selected deterministically. The second was use of a register having more bit-positions than were strictly necessary to resolve environmental aliasing. The origins and effects of the two extensions are discussed.