Mussel Classifier System Based on Morphological Characteristics
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DOI: 10.1109/access.2018.2884394
Abstract: The recognition, counting, and sorting of mussels in marine cultures for seed production are currently performed by visual examination experts (i.e., entirely dependent on human resources). In this paper, we present the development of an… read more here.
Keywords: system; based morphological; mussel classifier; classifier system ... See more keywords
Anticipatory Classifier System With Episode-Based Experience Replay
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DOI: 10.1109/access.2023.3269879
Abstract: Deep reinforcement learning with Experience Replay (ER), including Deep Q-Network (DQN), has been used to solve many multi-step learning problems. However, in practice, DQN algorithms need better explainability, which limits their applicability in many scenarios.… read more here.
Keywords: episode based; classifier system; anticipatory classifier; replay ... See more keywords
Anticipatory Classifier System with Average Reward Criterion in Discretized Multi-Step Environments
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DOI: 10.3390/app11031098
Abstract: Initially, Anticipatory Classifier Systems (ACS) were designed to address both single and multistep decision problems. In the latter case, the objective was to maximize the total discounted rewards, usually based on Q-learning algorithms. Studies on… read more here.
Keywords: system; system average; anticipatory classifier; reward criterion ... See more keywords