SAI, a Sensible Artificial Intelligence that plays Go

SAI, a Sensible Artificial Intelligence that plays Go

11 September 2018

Maurizio Parton

Papers citing "SAI, a Sensible Artificial Intelligence that plays Go"

9 / 9 papers shown

Title
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning Flora Angileri Giulia Lombardi Andrea Fois Renato Faraone C. Metta ... M. Fantozzi S. Galfrè Daniele Pavesi Maurizio Parton F. Morandin 24 2 0 18 Jun 2024
Increasing biases can be more efficient than increasing weights C. Metta M. Fantozzi Andrea Papini G. Amato Matteo Bergamaschi S. Galfrè Alessandro Marchetti Michelangelo Vegliò Maurizio Parton F. Morandin 26 4 0 03 Jan 2023
Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning? Luca Pasqualini G. Amato Maurizio Parton R. Gini Alessandro Marchetti C. Metta F. Morandin M. Fantozzi 17 2 0 31 Jan 2022
Spatial State-Action Features for General Games Dennis J. N. J. Soemers Éric Piette Matthew Stephenson C. Browne 63 4 0 17 Jan 2022
Transfer of Fully Convolutional Policy-Value Networks Between Games and Game Variants Dennis J. N. J. Soemers Vegard Mella Éric Piette Matthew Stephenson C. Browne O. Teytaud OffRL 23 8 0 24 Feb 2021
Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection A. Egri-Nagy Antti Törmänen GNN 14 5 0 03 Sep 2020
Manipulating the Distributions of Experience used for Self-Play Learning in Expert Iteration Dennis J. N. J. Soemers Éric Piette Matthew Stephenson C. Browne OffRL 9 6 0 30 May 2020
SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version) F. Morandin G. Amato M. Fantozzi R. Gini C. Metta Maurizio Parton LLMAG 16 8 0 26 May 2019
Accelerating Self-Play Learning in Go David J. Wu 14 93 0 27 Feb 2019