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Dive into the research topics where Abdallah Saffidine is active.

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Featured researches published by Abdallah Saffidine.


annual conference on computers | 2010

Score bounded Monte-Carlo tree search

Tristan Cazenave; Abdallah Saffidine

Monte-Carlo Tree Search (MCTS) is a successful algorithm used in many state of the art game engines. We propose to improve a MCTS solver when a game has more than two outcomes. It is for example the case in games that can end in draw positions. In this case it improves significantly a MCTS solver to take into account bounds on the possible scores of a node in order to select the nodes to explore. We apply our algorithm to solving Seki in the game of Go and to Connect Four.


advances in computer games | 2011

Solving breakthrough with Race Patterns and Job-Level Proof Number Search

Abdallah Saffidine; Nicolas Jouandeau; Tristan Cazenave

breakthrough is a recent race-based board game usually played on a 8×8 board. We describe a method to solve 6×5 boards based on (1) race patterns and (2) an extension of (JLPNS).


international joint conference on artificial intelligence | 2011

Choosing collectively optimal sets of alternatives based on the condorcet criterion

Edith Elkind; Jérôme Lang; Abdallah Saffidine

In elections, an alternative is said to be a Condorcet winner if it is preferred to any other alternative by a majority of voters. While this is a very attractive solution concept, many elections do not have a Condorcet winner. In this paper, we propose a setvalued relaxation of this concept, which we call a Condorcet winning set: such sets consist of alternatives that collectively dominate any other alternative. We also consider a more general version of this concept, where instead of domination by a majority of voters we require domination by a given fraction Θ of voters; we refer to this concept as Θ-winning set. We explore social choice-theoretic and algorithmic aspects of these solution concepts, both theoretically and empirically.


Social Choice and Welfare | 2015

Condorcet winning sets

Edith Elkind; Jérôme Lang; Abdallah Saffidine

An alternative is said to be a Condorcet winner of an election if it is preferred to any other alternative by a majority of voters. While this is a very attractive solution concept, many elections do not have a Condorcet winner. In this paper, we propose a set-valued relaxation of this concept, which we call a Condorcet winning set: such sets consist of alternatives that collectively dominate any other alternative. We also consider a more general version of this concept, where instead of domination by a majority of voters we require domination by a given fraction


Knowledge Based Systems | 2012

UCD: Upper confidence bound for rooted directed acyclic graphs

Abdallah Saffidine; Tristan Cazenave; Jean Méhat


annual conference on computers | 2013

Material Symmetry to Partition Endgame Tables

Abdallah Saffidine; Nicolas Jouandeau; Cédric Buron; Tristan Cazenave

\theta


european conference on artificial intelligence | 2014

A systematic solution to the (De-)composition problem in general game playing

Timothy Joseph Cerexhe; David Rajaratnam; Abdallah Saffidine; Michael Thielscher


Autonomous Agents and Multi-Agent Systems | 2017

Positional scoring-based allocation of indivisible goods

Dorothea Baumeister; Sylvain Bouveret; Jérôme Lang; Nhan-Tam Nguyen; Trung Thanh Nguyen; Jörg Rothe; Abdallah Saffidine

θ of voters; we refer to such sets as


international conference on technologies and applications of artificial intelligence | 2010

UCD: Upper Confidence Bound for Rooted Directed Acyclic Graphs

Abdallah Saffidine; Tristan Cazenave; Jean Méhat


international joint conference on artificial intelligence | 2017

Mechanisms for Online Organ Matching

Nicholas Mattei; Abdallah Saffidine; Toby Walsh

\theta

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Jérôme Lang

Paris Dauphine University

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Édouard Bonnet

Hungarian Academy of Sciences

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Florian Jamain

Paris Dauphine University

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Michael Thielscher

University of New South Wales

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Serge Gaspers

University of New South Wales

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