Reinforcement learning–based simulations show human desire to always want more may speed up learning

A trio of researchers, two with Princeton University, the other the Max Planck Institute for Biological Cybernetics, has developed a reinforcement learning–based simulation that shows the human desire always to want more may have evolved as a way to speed up learning. In their paper posted in the open-access PLOS Computational Biology, Rachit Dubey, Thomas Griffiths and Peter Dayan describe the factors that went into their simulations.

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