The AI community is increasingly putting its attention towards combining symbolic and neural approaches, as it often argued that the strengths weaknesses of these approaches are complementary. One recent trend in literature weakly supervised learning techniques employ operators from fuzzy logics. In particular, use prior background knowledge described such logics to help training a network unla...

In this paper, we consider the stochastic iterative counterpart of value iteration scheme wherein only noisy and possibly biased approximations Bellman operator are available. We call approximate (AVI) scheme. Neural networks often used as function approximators, in order to counter Bellman’s curse dimensionality. they operator. Because neural typically trained using sample data, errors biases ...