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    AuthorAggarwal, Nitish (1)Breen, Aidan (1)Cardinot, Marcos (1)Cinar, Yusuf (1)Dowling, Seamus (1)... View MoreSubject
    Engineering and Informatics (19)
    Information technology (19)
    Artificial Intelligence (4)Computer science (4)Machine Learning (3)... View MoreDate Issued2020 (7)2019 (6)2018 (3)2017 (1)2015 (2)TypeThesis (19)

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    Towards inherently adaptive first person shooter agents using reinforcement learning 

    Glavin, Frank G. (2015-09-30)
    Reinforcement learning (RL) is a paradigm which involves an agent interacting with an environment. The agent carries out actions in the environment and receives positive reinforcement for actions that are deemed “good” and ...
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    Knowledge-based multi-objective multi-agent reinforcement learning 

    Mannion, Patrick (2017-08-17)
    Multi-Agent Reinforcement Learning (MARL) is a powerful Machine Learning paradigm, where multiple autonomous agents can learn to improve the performance of a system through experience. The majority of MARL implementations ...
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    Leveraging Wikipedia-based features for entity relatedness and recommendation 

    Aggarwal, Nitish (2018-01-31)
    Entities such as people, locations, organizations play a key role in natural language understanding. Most of the approaches that deal with natural language processing tasks, require a method to measure the relatedness ...
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    Advances in evolutionary neural networks with applications in energy systems and the environment 

    Mason, Karl (NUI Galway, 2018-08-29)
    Evolutionary neural networks combine two of the most powerful areas of computing, evolutionary algorithms and neural networks. There are a number of benefits of using evolutionary algorithms to train a network over traditional ...
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    Hybrid systems modelling aided by machine learning with applications in healthcare 

    Elbattah, Mahmoud (NUI Galway, 2018-03)
    Recent trends towards data-driven methods may require a substantial rethinking of the process of developing simulation models. For instance, Machine Learning (ML) has demonstrated great potentials for constructing new ...
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    Next generation HBBTV services and applications through multimedia synchronisation 

    Yuste, Lourdes Beloqui (2015-09-18)
    In this thesis, the focus is on multi-source, multi-platform media synchronisation on a single device. Multimedia synchronisation is a broad research area with many facets across many multimedia application types. With ...
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    Art and analogy through evolutionary computation 

    Breen, Aidan (NUI Galway, 2019-04-05)
    In this thesis the development of a computer system capable of generating art through the process of analogy is presented. A visual display is generated analogous to a given piece of music. This analogy is based upon the ...
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    Neural transfer learning for natural language processing 

    Ruder, Sebastian (NUI Galway, 2019-06-07)
    The current generation of neural network-based natural language processing models excels at learning from large amounts of labelled data. Given these capabilities, natural language processing is increasingly applied to new ...
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    Promoting the evolution of cooperation in social dilemma games using contingent mobility strategies 

    Gibbons, Maud (NUI Galway, 2019-04-05)
    Researchers in many domains use social dilemmas to explore the conditions necessary for cooperation to emerge among groups. Social dilemmas, and in particular the Prisoner’s Dilemma, are used because of their usefulness ...
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    A new framework for adaptive and agile honeypots 

    Dowling, Seamus (NUI Galway, 2020-01-13)
    As new technological concepts appear and evolve, cyberattack surfaces and vectors are exploited. Every Internet facing device or service is vulnerable from the untrusted external Internet. Previously standalone devices are ...
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