Neural Regulation
Woodward–Hoffmann Selection Rules and Microscopic Reversibility
Observational Learning
Neural Circuits
Reinforcement
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Vassilis Vassiliades1, Chris Christodoulou
1Department of Computer Science, University of Cyprus, 1678 Nicosia, Cyprus v.vassiliades@cs.ucy.ac.cy.
Researchers developed artificial neural network (ANN) learning rules for reinforcement learning. These evolved ANN rules excel in partially observable and nonstationary environments, outperforming traditional methods.
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