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)

@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}
}