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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
document
Spaan, M.T.J. (author), Oliehoek, F.A. (author), Amato, C. (author)
We advance the state of the art in optimal solving of decentralized partially observable Markov decision processes (Dec-POMDPs), which provide a formal model for multiagent planning under uncertainty.
conference paper 2011
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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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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
document
Spaan, B. (author)
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
document
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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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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Scharpff, J. (author), Spaan, T.J. (author), Volker, L. (author), De Weerdt, M. (author)
conference paper 2013
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Elffers, J. (author), Konijnenberg, D. (author), Walraven, E. (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
document
Scharpff, J. (author), Spaan, M.T.J. (author), Volker, L. (author), De Weerdt, M.M. (author)
We address efficient planning of maintenance activities in infrastructural networks, inspired by the real-world problem of servicing a highway network. A road authority is responsible for the quality, throughput and maintenance costs of the network, while the actual maintenance is performed by autonomous, third-party contractors. From a (multi...
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
document
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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Scharpff, J.C.D. (author), Spaan, M.T.J. (author), De Weerdt, M.M. (author)
We study the planning of maintenance activities on public infrastructural networks – road networks, Internet, power grids, etc. – in contingent environments such that the negative impact on the network user is minimised. Traditional efforts hereto are mainly of a regulatory nature, whereas we propose charging the service-providers (agents)...
conference paper 2012
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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
document
Spaan, M.T.J. (author), Oliehoek, F.A. (author)
Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful framework for optimal decision making under the assumption of instantaneous communication. We focus on a delayed communication setting (MPOMDP-DC), in which broadcasted information is delayed by at most one time step. In this paper, we show that computation of...
conference paper 2012
document
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
document
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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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
document
Spaan, F.H.P. (author)
doctoral thesis 2000
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