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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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of biomechanical analysis into a new era. Considering the size of the pitch along with the stochastic nature of football there are questions relating to the accuracy of this kinematic data, which forms the basis
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these into game engines to visualize and provoke alternative, sustainable working environments that make space for nature. The student will consider how digital-twinning (virtual replication) and gamification
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, treating PHEVs as both loads and distributed generators. Game-theoretic optimization will be embedded within the MARL formulation to handle strategic interactions in energy markets for negotiation amongst
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projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the
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partnership and will provide bespoke training in behavioural fieldwork (Darden—Exeter), ecophysiology, sensory ecology (How—Bristol), game theory and evolutionary simulations (Fawcett—Exeter). There are many
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Programming Intelligent Modelling and Analysis Mixed Reality Lab Lab for Uncertainty in Data and Decision Making Visualisation and Computer Graphics Responsible Digital Futures The studentships available
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Methods 60% of the world's population live in countries dependent upon seasonal monsoon rainfall. Climate change is causing changes in the character of monsoon rainfall, with potentially severe impacts
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including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers