Searched for: subject%3A%22Markov%255C%2BDecision%255C%2BProcess%22
(41 - 60 of 61)
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Sawant, Shambhuraj (author)Reinforcement learning (RL) is an area of Machine Learning (ML) concerned with learning how a software-defined agent should act in an environment to maximize the rewards. Similar to many ML methods, RL suffers from the curse of dimensionality, the exponential increase in solution space with the increase in problem dimensions. Learning the...master thesis 2018
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Analysis of evacuation performance of early stage ship designs using a Markov-Decision-Process modelJoustra, Redmer (author)This thesis research is conducted on behalf of the Delft University of Technology and Bureau Veritas Rotterdam BV, and the goal is to improve ship evacuation by analyzing this aspect early on in the design process. First, this summary will provide a background on the difficulties involved with the ship evacuation process . Next, an explanation...master thesis 2018
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Mohajerin Esfahani, P. (author), Sutter, Tobias (author), Kuhn, Daniel (author), Lygeros, John (author)We consider linear programming (LP) problems in infinite dimensional spaces that are in general computationally intractable. Under suitable assumptions, we develop an approximation bridge from the infinite dimensional LP to tractable finite convex programs in which the performance of the approximation is quantified explicitly. To this end, we...journal article 2018
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Kleinrouweler, Jan Willem (author), Meixner, Britta (author), Bosman, Joost (author), Van Den Berg, Hans (author), Van Der Mei, Rob (author), Cesar, Pablo (author)Frequent variations in throughput make mobile networks a challenging environment for video streaming. Current video players deal with those variations by matching video quality to network throughput. However, this adaptation strategy results in frequent changes of video resolution and bitrate, which negatively impacts the users' streaming...conference paper 2018
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van Bekkum, Rob (author)Decision-theoretic planning techniques are increasingly being used to obtain (optimal) plans for domains involving uncertainty, which may be present in the form of the controlling agent's actions, its percepts, or exogenous factors in the domain. These techniques build on detailed probabilistic models of the underlying system, for which Markov...master thesis 2017
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Siebers, J.A. (author)This thesis describes a solution to the Ground Movement Problem, formulated by Atkin et al. in 2010. It is described as a routing and scheduling problem and involves directing aircraft to their destinations in a timely matter, with the aim to either reduce the overall travel time and/or to meet some target time windows. A Markov Decision Process...master thesis 2017
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- Kana, A.A. (author) journal article 2017
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Kana, A.A. (author), Harrison, B.M. (author)A Monte Carlo approach to the ship-centric Markov decision process (SC-MDP) is presented for analyzing whether a container ship should convert to LNG power in the face of evolving Emission Control Area regulations. The SC-MDP model was originally developed as a means to analyze uncertain, sequential decision making problems. However, the...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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De Nie, R.C. (author)The increasing demand for electricity offers many opportunities for renewable energy production, of which one alternative is tidal stream energy. Several feasibility studies have shown that the global tidal stream energy potential can contribute significantly to producing renewable energy. This tidal energy can mostly be produced at the 'tidal...master thesis 2016
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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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- Kana, A.A. (author) conference paper 2016
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- Kana, A.A. (author) conference paper 2016
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- Kana, A.A. (author) conference paper 2016
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Scharpff, J.C.D. (author), Roijers, Diederik M. (author), Oliehoek, F.A. (author), Spaan, M.T.J. (author), de Weerdt, M.M. (author)In cooperative multi-agent sequential decision making under uncertainty, agents must coordinate to find an optimal joint policy that maximises joint value. Typical algorithms exploit additive structure in the value function, but in the fully-observable multi-agent MDP (MMDP) setting such structure is not present. We propose a new optimal solver...conference paper 2016
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Kana, A.A. (author), Brefort, D.C. (author), Seyffert, H.C. (author), Singer, D.J. (author)This paper introduces a novel decision-making framework for planning lifecycle compliance of ballast water treatment by applying eigenvalue spectral analysis<br/>to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on identifying the relationships of various decision making scenarios, and how those relationships...conference paper 2016
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Kana, A.A. (author), Singer, D.J. (author)This paper introduces a means of performing a ship egress analysis by applying eigenvalue analysis to the ship-centric Markov decision process (SC-MDP) framework. This method focuses on how people egress, the decisions they make under uncertainty, and the interaction between the individuals and the layout of the vessel. The objective is to...conference paper 2016
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Walraven, E.M.P. (author)Traffic congestion causes unnecessary delay, pollution and increased fuel consumption. In this thesis we address this problem by proposing new algorithmic techniques to reduce traffic congestion and we contribute to the development of a new Intelligent Transportation System. We present a method to determine speed limits, in which we combine a...master thesis 2014
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Schuitema, E. (author)Service robots have the potential to be of great value in households, health care and other labor intensive environments. However, these environments are typically unique, not very structured and frequently changing, which makes it difficult to make service robots robust and versatile through manual programming. Having robots learn to solve...doctoral thesis 2012
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Negenborn, R.R. (author), De Schutter, B. (author), Wiering, M.A. (author), Hellendoorn, H. (author)We propose the use of Model Predictive Control (MPC) for controlling systems described by Markov decision processes. First, we consider a straightforward MPC algorithm for Markov decision processes. Then, we propose value functions, a means to deal with issues arising in conventional MPC, e.g., computational requirements and sub-optimality of...report 2005
Searched for: subject%3A%22Markov%255C%2BDecision%255C%2BProcess%22
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