Search Results for author: Rosa Gini

Found 3 papers, 2 papers with code

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?

no code implementations31 Jan 2022 Luca Pasqualini, Gianluca Amato, Marco Fantozzi, Rosa Gini, Alessandro Marchetti, Carlo Metta, Francesco Morandin, Maurizio Parton

In the last years, the DeepMind algorithm AlphaZero has become the state of the art to efficiently tackle perfect information two-player zero-sum games with a win/lose outcome.

Game of Go reinforcement-learning +1

SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)

1 code implementation26 May 2019 Francesco Morandin, Gianluca Amato, Marco Fantozzi, Rosa Gini, Carlo Metta, Maurizio Parton

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.

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