Learning robust value functions given raw observations and rewards is now possible with model-free and model-based deep reinforcement learning algorithms. There is a third alternative, called Successor Representations (SR), which decomposes the value function into two components – a reward predictor and a successor map. The successor map represents the expected future state occupancy from any g...

The culturally widespread verbal count list (“one, two, three...”), deployed in accord with what Gelman & Gallistel (1978) call the “counting principles,” represents the positive integers1. The counting principles provide an account of how the count list encodes the successor function; i.e. if a numeral “n” refers to cardinal value n and “p” immediately follows “n” in the count list then “p” re...

The aim of this study is to give spinor representation successive curves in three-dimensional Euclidean space. In three dimensional Space, the representations a curve with unit speed and successor same arc length parameter as has been studied. For this, first all, its have corresponded two different spinors. Then, using relationships between these curves, spinors corresponding given. Therefore,...

As a natural extension of the fuzzy variable, bifuzzy variable is defined as mapping from credibility space to collection variables, which an appropriate tool model two-fold phenomena. In order enrich its theoretical foundation, this paper explores some important measures for regular most commonly used type variables. Firstly, we introduce variables’ mean chance measure and properties, includin...

The finite satisfiability problem of two-variable logic extended by a linear order successor and a preorder successor is shown to be undecidable. The decidability of the finite satisfiability problem of two-variable logic extended by orders and preorders as well as their corresponding successor relations has been currently investigated by several papers [2, 5, 3]. This short note extends [3] wh...