Searched for: author:"Spaan, M.T.J."
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Scharpff, J.C.D. (author), Schraven, D.F.J. (author), Volker, Leentje (author), Spaan, M.T.J. (author), de Weerdt, M.M. (author)
This white paper describes the Road Maintenance Planning game, a game that simulates planning, coordination and
execution of maintenance projects in the domain of infrastructural maintenance. In particular, the game models the dynamic contracting procedure of Volker et al. (2014), an innovative way of contracting public works to a team group...
other 2019
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Ter Berg, C.J.A. (author), Leontaris, G. (author), van den Boomen, M. (author), Spaan, M.T.J. (author), Wolfert, A.R.M. (author)
The optimal moment at which maintenance activities should be performed on structures with long service-life to guarantee the required quality of service is hard to define, due to uncertainties in their deterioration processes. Most of the developed methods and concepts use historical data to predict the deterioration process with deterministic...
journal article 2019
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de Nijs, F. (author), de Weerdt, M.M. (author), Spaan, M.T.J. (author)
Demand response refers to the concept that power consumption should aim to match supply, instead of supply following demand. It is a key technology to enable the successful transition to an electricity system that incorporates more and more intermittent and uncontrollable renewable energy sources. For instance, loads such as heat pumps or...
book chapter 2019
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
In several real-world domains it is required to plan ahead while there are finite resources available for executing the plan. The limited availability of resources imposes constraints on the plans that can be executed, which need to be taken into account while computing a plan. A Constrained Partially Observable Markov Decision Process ...
journal article 2018
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van der Blij, N.H. (author), Ramirez Elizondo, L.M. (author), Spaan, M.T.J. (author), Bauer, P. (author)
Changes in distribution grids pose significant challenges with respect to the control and management of these grids. Stability and decentralized control are vital to ensure the availability and accessibility of plug-and-play dc distribution grids that are (temporarily) without communication. Therefore, this paper presents guidelines for these...
journal article 2018
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van den Boomen, M. (author), Spaan, M.T.J. (author), Schoenmaker, R. (author), Wolfert, A.R.M. (author)
Managerial flexibility in infrastructure investment and replacement decisions adds value. Real options analysis (ROA) captures this value under uncertain market prices. The concept of ROA is that future unfavourable payoffs can be deferred as soon as more information about market prices becomes available. The popularity of ROA is seen in a...
journal article 2018
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Satsangi, Yash (author), Whiteson, Shimon (author), Oliehoek, F.A. (author), Spaan, M.T.J. (author)
In active perception tasks, an agent aims to select sensory actions that reduce its uncertainty about one or more hidden variables. For example, a mobile robot takes sensory actions to efficiently navigate in a new environment. While partially observable Markov decision processes (POMDPs) provide a natural model for such problems, reward...
journal article 2018
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van der Blij, N.H. (author), Ramirez Elizondo, L.M. (author), Spaan, M.T.J. (author), Bauer, P. (author)
Employing bipolar dc distribution systems introduces the possibility of imbalance in the system. To analyze these systems it is crucial to create novel modelling techniques. This paper presents a method to decompose dc distribution systems into symmetrical components. The presented method simplifies the analysis of balanced, unbalanced, and...
journal article 2018
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van der Blij, N.H. (author), Ramirez Elizondo, L.M. (author), Spaan, M.T.J. (author), Bauer, P. (author)
Many modelling methods for the analysis of dc distribution grids only consider monopolar configurations and do not allow for mutual couplings to be taken into account. The modelling method presented in this paper aims to deal with both of these issues. A state-space approach was chosen for its flexibility and computational speed. The derived...
journal article 2018
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Roijers, Diederik (author), Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Iteratively solving a set of linear programs (LPs) is a common strategy for solving various decision-making problems in Artificial Intelligence, such as planning in multi-objective or partially observable Markov Decision Processes (MDPs). A prevalent feature is that the solutions to these LPs become increasingly similar as the solving algorithm...
conference paper 2018
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Oliehoek, Frans A. (author), Spaan, M.T.J. (author), Terwijn, Bas (author), Robbel, Philipp (author), Messias, João V. (author)
This article describes the MultiAgent Decision Process (MADP) toolbox, a software library to support planning and learning for intelligent agents and multiagent systems in uncertain environments. Key features are that it supports partially observable environments and stochastic transition models; has unified support for single- and multiagent...
journal article 2017
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van der Blij, N.H. (author), Ramirez Elizondo, L.M. (author), Spaan, M.T.J. (author), Bauer, P. (author)
Instability caused by low inertia and constant power loads is a major challenge of DC distribution grids. Previous research uses oversimplified models or does not provide general rules for stability. Therefore, a comprehensive approach to analyze the stability of DC distribution systems is desired. This paper presents a method to algebraically...
journal article 2017
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de Nijs, F. (author), Walraven, E.M.P. (author), de Weerdt, M.M. (author), Spaan, M.T.J. (author)
Multi-agent planning problems with constraints on global resource consumption occur in several domains. Existing algorithms for solving Multi-agent Markov Decision Processes can compute policies that meet a resource constraint in expectation, but these policies provide no guarantees on the probability that a resource constraint violation will...
conference paper 2017
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Renewable energy sources introduce uncertainty regarding generated power in smart grids. For instance, power that is generated by wind turbines is time-varying and dependent on the weather. Electric vehicles will become increasingly important in the development of smart grids with a high penetration of renewables, because their flexibility makes...
conference paper 2016
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
The increasing penetration of renewable energy sources and electric vehicles raises important challenges related to the operation of electricity grids. For instance, the amount of power generated by wind turbines is time-varying and dependent on the weather, which makes it hard to match flexible electric vehicle demand and uncertain wind power...
conference paper 2016
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
In many planning domains external factors are hard to model using a compact Markovian state. However, long-term dependencies between consecutive states of an environment might exist, which can be exploited during planning. In this paper we propose a scenario representation which enables agents to reason about sequences of future states. We show...
conference paper 2015
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Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Integration of renewable energy in power systems is a potential source of uncertainty, because renewable generation is variable and may depend on changing and highly uncertain weather conditions. In this paper we present and evaluate a new method to schedule power-demanding tasks with release times and deadlines under uncertainty, in order to...
conference paper 2015
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Oliehoek, F.A. (author), Whiteson, S. (author), Spaan, M.T.J. (author)
Dec-POMDPs are a powerful framework for planning in multiagent systems, but are provably intractable to solve. This paper proposes a factored forward-sweep policy computation method that tackles the stages of the problem one by one, exploiting weakly coupled structure at each of these stages. An empirical evaluation shows that the loss in...
conference paper 2013
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Scharpff, J.C.D. (author), Spaan, M.T.J. (author), Volker, L. (author), De Weerdt, M.M. (author)
Scheduling of infrastructural maintenance poses a complex multi-agent problem. Commonly a central authority is responsible for the quality and throughput of the infrastructure, while the actual maintenance is performed by multiple self-interested contractors. Not only does the central authority have to (economically) incentivise agents to...
conference paper 2013
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Elffers, J. (author), Konijnenberg, D. (author), Walraven, E.M.P. (author), Spaan, M.T.J. (author)
Several approaches exist to solve Artificial Intelligence planning problems, but little attention has been given to the combination of using landmark knowledge and satisfiability (SAT). Landmark knowledge has been exploited successfully in the heuristics of classical planning. Recently it was also shown that landmark knowledge can improve the...
conference paper 2013
Searched for: author:"Spaan, M.T.J."
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