Improving selection strategies in zeroth-level classifier systems based on average reward reinforcement learning
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-018-0682-x
Abstract: As a genetics-based machine learning technique, zeroth-level classifier system (ZCS) based on average reward reinforcement learning (ZCSAR) evolves solutions to optimize average reward per time step. However, initial experimental results have shown that, in some… read more here.
Keywords: selection strategies; average reward; level classifier; selection ... See more keywords
RF-Sensing: A New Way to Observe Surroundings
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DOI: 10.1109/access.2022.3228639
Abstract: Radio frequency sensing (RF-sensing) is an emerging field assisting vision technology for object detection, tracking, and various such use cases. RF-Sensing technology uses radio signals and their reflections in order to capture the surrounding details… read more here.
Keywords: classifier; hierarchical classifier; coarse level; level ... See more keywords