Density-Matrix Reinforcement Learning
Density-matrix reinforcement learning (DMRL) is a purely classical data structure, computed on ordinary classical hardware, and some coherent policies earn strictly more expected reward than every classical policy with the same action probabilities.
Chiu-Man Ho
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