Technical Note: \cal Q-Learning
Machine Learning
Genetic Reinforcement Learning for Neurocontrol Problems
Machine Learning - Special issue on genetic algorithms
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Reinforcement learning for an ART-based fuzzy adaptive learning control network
IEEE Transactions on Neural Networks
Policy search using paired comparisons
The Journal of Machine Learning Research
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A new training algorithm is presented for delayed reinforcement learning problems that does not assume the existence of a critic model and employs the polytope optimization algorithm to adjust the weights of the action network so that a simple direct measure of the training performance is maximized. Experimental results from the application of the method to the pole balancing problem indicate improved training performance compared with critic-based and genetic reinforcement approaches.