Associative learning in random environments using neural networks


Associative learning is investigated using neural networks and concepts based on learning automata. The behavior of a single decision-maker containing a neural network is studied in a random environment using reinforcement learning. The objective is to determine the optimal action corresponding to a particular state. Since decisions have to be made… (More)
DOI: 10.1109/72.80288


Cite this paper

@article{Narendra1991AssociativeLI, title={Associative learning in random environments using neural networks}, author={Kumpati S. Narendra and Snehasis Mukhopadhyay}, journal={IEEE transactions on neural networks}, year={1991}, volume={2 1}, pages={20-31} }