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Login Recently added Indigenous (Energy) Explainability of Reinforcement Learning Policies for Human-Robot Interaction Decision AI for biodiversity Development of a GIS-Based Model for Active Citizenry
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on game theoretical modelling, usually employing populations of software agents to emulate the behaviour of human populations. Researchers construct models, usually based on known games, and empirical data
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eat through young crop plants. Wasps sometimes sting humans, but some species make excellent bio-control agents that hunt for caterpillars on our crops, saving the crop's leaves from being eaten
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may hold the ultimate key to understanding task allocation in depth. Beyond biology, the insights gained will also be a key to novel bio-inspired technologies, for example in autonomous multi-agent
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for Human-Robot Interaction Decision AI for biodiversity Development of a GIS-Based Model for Active Citizenry Street-Level Environment Recognition On Moving Resource-Constrained Devices Authorised by
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, multi-agent reinforcement learning, in an interdisciplinary area across energy and transport systems. Role/contribution in the project Collaborate with supervisors and other team members Analyse
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. The objective of this project is to test a new model for assessing covert racism experienced by Indigenous youth, which includes the roles and responsibilities of non-Indigenous agents. This model can be utilised
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