A coverage-coefficient based rule for choosing synthetic environments in multi-environment Q-learning is derived, implemented as CCQ, and shown to outperform partial ordering in random graph experiments.
Q-learning: Theory and applications
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Coverage Analysis for Digital Cousin Selection -- Improving Multi-Environment Q-Learning
A coverage-coefficient based rule for choosing synthetic environments in multi-environment Q-learning is derived, implemented as CCQ, and shown to outperform partial ordering in random graph experiments.