In BW, an include: areforwardprogress, failur ), acostcontr ), ashapingrehead). Require:Experience B; twinQ-function 1, 2 (with parameters 1, 2; policyparameter ; discount ; entrop ; learningrates q, ; targetnetw ; Boolean 1: Sampletransition(s, a, r,0) B.r2Rm is 2: Samplepolica0 ( |s0; )andu ( |s; ) 3: rm+1 log (a0|s0; ).Extend 4: j argmin

Thus, there is a need for a reference point, on which each model canbetested andfrom where potential improvements canbe derived. In this study, we select publicly available state-of-the-art visual search models and datasets in natural scenes, and provide a common framework for their evaluation. To this end, we apply a unified format and criteria, bridging the gaps between them, and we estimate the models' efficiency and similarity with humans using a specific set of metrics.

Lipschitz smooth, and further improved by using fewer iterations.