An Improved Minibrain That Learns Through Both Positive and Negative Feedback
Chee Wee Phua, Alan Blair · The 2006 IEEE International Joint Conference on Neural Network Proceedings · 2006
A new reinforcement learned neural network, that follows the ideas of the minibrain network but includes exploration and learns through both positive and negative feedback, is proposed. The proposed ReL network is evaluated against the minibrain network in the n × n grid world domain and the taxi domain and is shown to perform significantly better than the minibrain network.