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Towards inherently adaptive first person shooter agents using reinforcement learning
(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 ...
Knowledge-based multi-objective multi-agent reinforcement learning
(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 ...
Advances in evolutionary neural networks with applications in energy systems and the environment
(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 ...
Leveraging Wikipedia-based features for entity relatedness and recommendation
(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 ...
Hybrid systems modelling aided by machine learning with applications in healthcare
(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 ...
Next generation HBBTV services and applications through multimedia synchronisation
(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 ...
Art and analogy through evolutionary computation
(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 ...
Graph-based diffusion methods for node classification and link prediction
(NUI Galway, 2020-02-13)
Graphs are common representation tools to organize information from heterogeneous
sources. They have been applied in various domains such as the scientific, engineering,
political, and business sectors. The large volume ...
A constructivist grounded theory study of the enablers and development of trust in scrum teams
(NUI Galway, 2019-08-19)
The academic discourse is replete with aphorisms advocating the need for trust in Scrum teams. However, whilst trust is believed to be necessary to foster knowledge sharing and collaboration within the Scrum team no research ...
Enhancing knowledge graph completion models and selected biological applications
(NUI Galway, 2020-06-18)
Knowledge completion is the task of extending knowledge graphs to enhance the quality of systems relying on them. In recent years, various knowledge completion techniques were developed to model knowledge graphs using ...