25,161
edits
Changes
no edit summary
=SANE=
SANE ([https://en.wikipedia.org/wiki/Symbiosis Symbiotic], Adaptive [https://en.wikipedia.org/wiki/Neuroevolution NeuroEvolution]) evolves [[Neural Networks|neural networks]] with [[Genetic Programming#GeneticAlgorithm|genetic algorithms]] for [https://en.wikipedia.org/wiki/Sequential_decision_making sequential decision tasks],
also applied to the [[Games|games]] of [[Othello]] and [[Go]].
SANE selects a population of hidden neurons of a "vanilla" three-layer feed-forward neural network with the connections and weights in both directions,
For Go and Othello, the input layer sees the board configuration, while the output layer indicates the goodness of each possible move by an output neuron associated with each space or point of the board.
However the research was conducted a few years before the [[Monte-Carlo Tree Search|MCTS]] revolution appeared in computer Go, not to mention the [[Deep Learning|deep learning]] breakthrough.
=Selected Publications=