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Original Article

Drive-reinforcement learning: a self-supervised model for adaptive control

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Pages 439-448 | Received 22 Feb 1990, Published online: 09 Jul 2009

References

  • Barto A G, Sutton R S, Anderson C W. Neuron-like adaptive elements that can solve difficult learning control problems. IEEE Trans. Systems, Man., Cybern. 1983; 13: 835–46
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  • Sutton R S. Learning to predict by the methods of temporal differences. Machine Learning 1988; 3: 9–44
  • Sutton R S, Barto A G. A temporal-difference model of classical conditioning. Proc. 9th Annual Conf. of the Cognitive Science Society. Erlbaum, Hillsdale, NJ 1987; 355–78
  • Widrow B, Smith F W. Pattern-recognizing control systems. Computer and Information Sciences, J T Tou, R H Wilcox. Spartan, Washington, DC 1964; 288–317

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