We identify a general framework for weak planning called bootstrap planning, which is defined as global planning using … only a local planner along with some memory for learning intermediate subgoals. We present a family of algorithms for … bootstrap planning, and provide some initial theory on their performance. In our theoretical analysis, we develop a random …

planning and learning; it is not a predictive model. This document consists of three principal parts. Part I provides a …This document describes the formulation and operation of a model designed to assist in planning supplementation … planning in the Columbia Basin. The model is operated within the spreadsheet environment of Quattro Pro using a system of …

forecasting risky 50/50 gambling decisions using different types of machine learning algorithms as well as traditional choice …

forecasting risky 50/50 gambling decisions using different types of machine learning algorithms as well as traditional choice …