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, Reinforcement Learning. LanguagesENGLISHLevelGood LanguagesITALIANLevelGood Years of Research ExperienceNone Additional Information Website for additional job details https://aramix.ai/ Work Location(s) Number
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to the lack of accurate models, machine learning-based problem solving is now revolutionizing almost every field of science and technology. FuturoChrom aims at developing model-free, purely reinforcement
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, and rigorously evaluate machine learning and deep learning models (CNNs, DNNs, transformers, graph neural networks, diffusion models, multimodal models, reinforcement learning) as well as software
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Investigator, this role is part of a leading AI research group specialising in reinforcement learning and intelligent systems. The team is focused on producing world-class research while collaborating with
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develop the ability to address complex real-world challenges. This includes exploring how learning activities, assessment methods, and course design can reinforce each other and contribute to meaningful
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Description Are you curious how Deep Learning and Online Learning can be effectively combined to create new learning paradigms? Job description Online learning algorithms achieve robustness often at the expense
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collaboration with the PI and lab members. Design, implement, and analyze behavioral and neuroimaging (fMRI) experiments. Develop and apply computational models (e.g., reinforcement learning, drift-diffusion
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms
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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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challenging real-world tasks. They will also explore reinforcement learning strategies to optimize decision-making policies in complex environments, and develop fine-tuning protocols for large pre-trained