AnimalEnvNet: A Deep Reinforcement Learning Method for Constructing Animal Agents Using Multimodal Data Fusion
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DOI: 10.3390/app14146382
Abstract: Simulating animal movement has long been a central focus of study in the area of wildlife behaviour studies. Conventional modelling methods have difficulties in accurately representing changes over time and space in the data, and… read more here.
Keywords: learning method; animalenvnet deep; reinforcement learning; method constructing ... See more keywords