8 citations · 9 across the 4 of their papers we have counts for
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cs.CR2019
Pseudo Random Number Generation: a Reinforcement Learning approach
Luca Pasqualini, Maurizio Parton
Pseudo-Random Numbers Generators (PRNGs) are algorithms produced to generate long sequences of statistically uncorrelated numbers, i.e. Pseudo-Random Numbers (PRNs). These numbers…
cs.AI2019
SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)
Francesco Morandin, Gianluca Amato, Marco Fantozzi +3
We develop a new model that can be applied to any perfect information two-player zero-sum game to target a high score, and thus a perfect play. We integrate this model into the Mon…