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Published in 2021 at "Neural Computing and Applications"
DOI: 10.1007/s00521-021-05772-7
Abstract: At present, the judgment of the burn depth is mainly based on the experience of doctors, so the accuracy of judgment is low, which will affect the follow-up treatment and nursing. In order to improve…
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Keywords:
burn;
classification;
incremental reinforcement;
reinforcement learning ... See more keywords
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Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3055499
Abstract: A central capability of a long-lived reinforcement learning (RL) agent is to incrementally adapt its behavior as its environment changes and to incrementally build upon previous experiences to facilitate future learning in real-world scenarios. In…
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Keywords:
online bayesian;
reinforcement learning;
incremental reinforcement;
environment ... See more keywords