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Loss and Reward Weighing for increased learning in Distributed Reinforcement Learning
This paper introduces two learning schemes for distributed agents in Rei...
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A contrastive learning approach for individual re-identification in a wild fish population
In both terrestrial and marine ecology, physical tagging is a frequently...
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Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
The deep learning revolution is touching all scientific disciplines and ...
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Temperate Fish Detection and Classification: a Deep Learning based Approach
A wide range of applications in marine ecology extensively uses underwat...
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