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A longstanding objective in classical planning is to synthesize policies that generalize across multiple problems from the same domain. In this work, we study generalized policy search-based methods with a focus on the score function used…

Artificial Intelligence · Computer Science 2022-04-25 Ryan Yang , Tom Silver , Aidan Curtis , Tomas Lozano-Perez , Leslie Pack Kaelbling

Deep generative models are powerful tools that have produced impressive results in recent years. These advances have been for the most part empirically driven, making it essential that we use high quality evaluation metrics. In this paper,…

Machine Learning · Statistics 2018-06-22 Shane Barratt , Rishi Sharma

The development of high-quality software or software-intensive systems requires custom-tailored process models that fit the organizational and project goals as well as the development contexts. These models are a necessary prerequisite for…

Software Engineering · Computer Science 2014-01-20 Jürgen Münch

In this paper we analyze the bipartite network of countries and products from UN data on country production. We define the country-country and product-product projected networks and introduce a novel method of filtering information based on…

The objective of this paper is to develop a standardized methodology for software development in the very unique industry and culture of financial markets. The prototyping process we present allows the development team to deliver for review…

Software Engineering · Computer Science 2008-03-10 Andrew Kumiega , Ben Van Vliet

The study explores the evolution of Chile's industrial policy from 1990 to 2022 through the lens of state capacity, innovation and endogenous development. In a global context where governments are reasserting their role as active agents of…

General Economics · Economics 2025-10-27 Rodrigo Barra Novoa

The modal factor model represents a new factor model for dimension reduction in high dimensional panel data. Unlike the approximate factor model that targets for the mean factors, it captures factors that influence the conditional mode of…

Econometrics · Economics 2024-10-01 Zhe Sun , Yundong Tu

This paper introduces a novel characteristics-based specification for linear demand to investigate endogenous product design. Characteristics are allowed to affect both consumers' product valuations and to what extent these compete. I…

Theoretical Economics · Economics 2026-04-08 Afonso Rodrigues

In economic literature, economic complexity is typically approximated on the basis of an economy's gross export structure. However, in times of ever increasingly integrated global value chains, gross exports may convey an inaccurate image…

General Economics · Economics 2020-12-11 Philipp Koch

Global marketing managers are interested in understanding the speed of the new product diffusion process and how the speed has changed in our ever more technologically advanced and global marketplace. Understanding the process allows firms…

Applications · Statistics 2012-06-29 Brian M. Hartman , Bani K. Mallick , Debabrata Talukdar

We distinguish between an internal differentiation of science and technology that focuses on instrumentalities and an external differentiation in terms of the relations of the knowledge production process to other social domains, notably…

Physics and Society · Physics 2009-11-17 Loet Leydesdorff , Martin Meyer

Entrepreneurship is often touted for its ability to generate economic growth. Through the creative-destructive process, entrepreneurs are often able to innovate and outperform incumbent organizations, all of which is supposed to lead to…

General Economics · Economics 2019-03-08 Christopher J. Boudreaux

National statistical systems are the enterprises tasked with collecting, validating and reporting societal attributes. These data serve many purposes - they allow governments to improve services, economic actors to traverse markets, and…

General Finance · Quantitative Finance 2015-02-27 Derrick M. Anderson , Andrew B. Whitford

In university programs and curricula, in general we react to the need to meet market needs. We respond to market stimulus, or at least try to do so. Consider now an inverted view. Consider our data and perspectives in university programs as…

Computers and Society · Computer Science 2008-12-21 Fionn Murtagh

In this paper, we propose a novel policy iteration method, called dynamic policy programming (DPP), to estimate the optimal policy in the infinite-horizon Markov decision processes. We prove the finite-iteration and asymptotic l\infty-norm…

Machine Learning · Computer Science 2011-09-09 Mohammad Gheshlaghi Azar , Vicenc Gomez , Hilbert J. Kappen

We review models of compositional growth, which were introduced to explain the growth statistics of various quantities ranging from firm sizes to GDP. In these models, entities are decomposed into units that grow independently. Thus, the…

General Economics · Economics 2024-04-12 José Moran , Massimo Riccaboni

Composing previously mastered skills to solve novel tasks promises dramatic improvements in the data efficiency of reinforcement learning. Here, we analyze two recent works composing behaviors represented in the form of action-value…

Machine Learning · Computer Science 2019-07-08 Jonathan J Hunt , Andre Barreto , Timothy P Lillicrap , Nicolas Heess

The concepts of Gross Domestic Product (GDP), GDP per capita, and population are central to the study of political science and economics. However, a growing literature suggests that existing measures of these concepts contain considerable…

In the world of Information Technology, new computing paradigms, driven by requirements of different classes of problems and applications, emerge rapidly. These new computing paradigms pose many new research challenges. Researchers from…

Computers and Society · Computer Science 2022-01-28 Rajkumar Buyya , Sukhpal Singh Gill , Satish Narayana Srirama , Rami Bahsoon , San Murugesan

Numerically computing global policies to optimal control problems for complex dynamical systems is mostly intractable. In consequence, a number of approximation methods have been developed. However, none of the current methods can quantify…

Robotics · Computer Science 2021-03-05 Ashwin Khadke , Hartmut Geyer