Modeling population dynamics of rhino-poacher interaction across South Africa and the Kruger National Park using ordinary differential equations by Makic, Vladimir

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Evaluating transformers as memory systems in reinforcement learning by Makkink, Thomas

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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning by Wolpe, Zach

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Learning to Coordinate Efficiently through Multiagent Soft Q-Learning in the presence of Game-Theoretic Pathologies by Danisa, Siphelele

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Active Inference in Multi-Objective Dynamic Environments by Hodson, Rowan

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Saliency Mapping in Convolutional Neural Networks to Determine Brain Age Trajectories by Taylor, Daniel

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Reinforcement learning algorithms to model learning and decision-making in individuals with depressive disorders by Niit, Lizelle

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Biologically motivated reinforcement learning in spiking neural networks by Rance, Dean

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High-school students' productive struggles during the simplification of trigonometrical expressions and the proving of trigonometrical identities by Sayster, Anthony

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Optimizing COVID-19 control measures using multi-objective deep reinforcement learning by Folarin, Arinze Lawrence

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Approximating a wavelet kernel using a quantum computer by Rughubar, Rivan

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Finite system size effects on the effective coupling in scalar quantum field theory by Du Plessis, Jean

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Investigation of brain ageing in HIV-positive individuals using convolutional neural networks by Catzel, Rachel

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Trends, problems, and solutions in causality and reinforcement learning by Grimbly, St John

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Self-attention policy architectures for reinforcement learning under partial observability by Du Plessis, Jeremy

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Addressing deep reinforcement learning: empirical algorithm performance evaluations∗ by Dubb, Roland

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