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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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scientific institutions work. Solid mathematical modelling and good programming skills. Excellent written and verbal communication skills. Learn more about minimum entry requirements .
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scientific institutions work. Solid mathematical modelling and good programming skills. Excellent written and verbal communication skills. Learn more about minimum entry requirements .
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/H1 or equivalent is essential; A strong interest in the topic of the research; Excellent written and verbal communication skills; An interest in game theory, <b>solid</b> skills in mathematical modelling, and good programming skills. Project funding Other Learn more about minimum entry...
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/H1 or equivalent is essential; A strong interest in the topic of the research; Excellent written and verbal communication skills; An interest in game theory, <b>solid</b> skills in mathematical modelling, and good programming skills. Project funding Other Learn more about minimum entry...
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; An interest in game theory, solid skills in mathematical modelling, and good programming skills. Project funding Other Learn more about minimum entry requirements .
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understand by humans. The K-MDP problem is the problem of finding the best MDP with, at most, K states by leveraging state abstraction approaches to aggregate states into sub-groups. The aim of this project
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. The project will advanced state of the art AI for NLP or vision or both and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these
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. The project will advanced state of the art AI for NLP or vision or both and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these
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critically evaluate and extend state-of-the-art explainability methods for RL, such as policy summarization, counterfactual reasoning, and interpretable model approximations, to make robot decision