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van der Kamp, Kevin (author)Efficient reasoning about time is crucial for robot operation, planning, and many other applications. A widespread representation used for reasoning about time is the so-called Simple Temporal Network (STN). Students at TU Delft previously developed and implemented algorithms for performing incremental reasoning over STNs. These algorithms...bachelor thesis 2018
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Smit, Wouter (author)Smart Grid scheduling problems are characterized by quickly changing situations and multiple external factors that cannot be controlled. Most smart grid research applies stochastic models over the total power consumption of a household or system to find a schedule that achieves an optimization, a balancing, or constraint satisfaction. While...bachelor thesis 2018
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Ziengs, Bart (author)The use of certain buyer strategies in the process of property bidding is being discovered in this paper. An Agent-based model is introduced where financial statistics are based on the Dutch housing market. Three types of agents are used in this model that uses cycles of two weeks. Thee hypotheses about the market are initially formulated. In...bachelor thesis 2019
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Strafforello, Ombretta (author)With the huge amount of data that is collected every day and shared on the internet, many recent studies have focused on methods to make multimedia browsing simple and efficient, investigating techniques for automatic multimedia analysis. This work specifically delves into the case of information extraction from videos, which is still an open...master thesis 2019
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van Gelderen, Beryl (author)In harsh, spatial versions of the prisoner’s dilemma, a stable ratio between cooperators and defectors is sometimes reached quickly, whereas for other runs<br/>the variability of this ratio is much higher. This paper explores different patterns of this ratio over time, and compares factors that may influence these patterns. A measure based on...bachelor thesis 2020
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Gevers, Louis (author)Interactions in the real world are subject to mistakes and miscommunications. The presence of this noise in interactions challenges cooperation, as one party cannot determine whether the other party did not cooperate on purpose. The Prisoner's Dilemma has commonly been used to study mutual cooperation. Strategies like Tit for Tat that do well in...bachelor thesis 2020
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de Jong, Gijs (author)The feeling of belongingness, to be a member of a group, is rooted in human evolutionary history. Cooperative behaviour within such groups has since been an important research topic. The evolution of cooperation in the iterated prisoner's dilemma (IPD) has been shown to be an effective tool of simulating and analysing this behaviour. However, it...bachelor thesis 2020
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Lutz, Sterre (author)Since the onset of the COVID-19 pandemic, many models have been made to predict the spread and responses to it. Although moral decision-making during the uncertainty pandemics is suggested to be more motivated by individual incentive than collective incentive, decision-making in COVID-19 agent-based models is often modelled implicitly by...bachelor thesis 2020
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van der Toorn, Eric (author)A recent advancement in Reinforcement Learning is the capability of modelling opponents. In this work, we are interested in going back to basics and testing this capability within the Iterated Prisoner's Dilemma, a simple method for modelling multi agent systems. Using the self modelling advantage actor critic model, we set up a single agent...bachelor thesis 2020
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Yin, Rukai (author)System Dynamics (SD) is an approach to study the nonlinear behaviour of complex systems over time. SD models provide a highlevel understanding of the system and aid in designing policies to achieve specific system behaviours. Conventional SD modelling requires an intensive amount of time, human resources and effort. Applying Machine Learning ...master thesis 2020
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Þorbjarnarson, T. (author)Recent work has shown potential in using Mixed Integer Programming (MIP) solvers to optimize certain aspects of neural networks (NN). However little research has gone into training NNs with MIP solvers. State of the art methods to train NNs are typically gradient-based and require significant amounts of data, computation on GPUs and extensive...master thesis 2020
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Yilmaz, M.K. (author)In line with the growing trend of using machine learning to improve solving of combinatorial optimisation problems, one promising idea is to improve node selection within a mixed integer programming branch-and-bound tree by using a learned policy. In contrast to previous work using imitation learning, our policy is focused on learning which of a...master thesis 2020
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van der Steeg, J.J. (author)With the increasing amount of container freight transport and the increasing size of container vessels, for the Port of Antwerp, the second largest container port in Europe, a critical task is port planning. A simulation model provides the means to gain proper insight in the effect of future expansions. Macomi, a company specialized in...master thesis 2020
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van Driel, R.A. (author)Solving propositional satisfiability (SAT) and constraint programming (CP) instances has been a fundamental part of a wide range of modern applications. For this reason a lot of research went into improving the efficiency of modern SAT and CP solvers. Recently much of this research has gone into exploring the possibilities of integrating machine...master thesis 2020
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Doolaard, F.P. (author)Constraint programming is a paradigm for solving combinatorial problems by checking whether constraints are satisfied in a constraint satisfaction problem or by optimizing an objective in a constraint optimization problem. To find solutions, the solver needs to find a variable and value ordering. Numerous heuristics designed by human experts...master thesis 2020
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Puppels, Thomas (author)Predict-and-Optimize (PnO) is a relatively new machine learning paradigm that has attracted recent interest: it concerns the prediction of parameters that determine the value of solutions to an optimization problem, such that the optimizer ends up picking a good solution. Training estimators with standard loss functions like mean squared error...master thesis 2020
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Snel, Koen (author)The ongoing demand for bigger and more efficient ships pushes their designs towards the strength limits. Sometimes, ship structures are pushed beyond their limits with the possibility of significant negative economic and environmental impact or, in the worst case, impact on human life. This makes it explicitly clear why the development of...master thesis 2020
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Verboom, Eva (author)This thesis investigates the optimization algorithm used for steel temperature control on the run-out table at Tata Steel IJmuiden. The system currently implemented in the finishing mill is called STORM (Smart Temperature Optimization on the Run out table for Mechanical property control) and was created and fully implemented this year. This...master thesis 2021
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Deen, Mitchell (author)Recent years have shown a tremendous increase in the application of Artificial Intelligence to the field of radiology, often through the extraction and analysis of large numbers of quantitative features from medical images. These applications increase the demand for machine learning models to extract information from these images. To provide...master thesis 2021
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Knops, Per (author)In the Iterated Prisoner’s Dilemma players can take advantage of other players. This has no drawbacks for the player after that game, since it is assumed that the players have no memory. When reputation is introduced however, a single game of the Prisoner’s Dilemma can influence other games. In this paper research is done on how reputation can...bachelor thesis 2021