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Bridge Winners Profile for Veronique Ventos

Veronique Ventos
Veronique Ventos
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Basic Information

Member Since
May 19, 2016
Last Seen
Jan. 17
Member Type
Bridge Player
about me

http:\\http://vvopenai.monsite-orange.fr/

PhD in Artificial Intelligence (Knowledge Representation and Machine Learning) in 1997. Associate professor in the group A&O in the interplay of Machine Learning and Optimization at University Paris Saclay, France since 1998. I started playing bridge in 2004 and am now 59th French woman player out of 48644 players. In 2015, I set up the AlphaBridge project combining my two passions. AlphaBridge is dedicated to solve the game of bridge by defining a hybrid architecture including recent numeric and symbolic Machine Learning modules.Part of my work is about the optimization of the AI Wbridge5 developed by Yves Costel.The Wbridge5 version boosted with this method won the World Computer-Bridge Championship twice, in September 2016 and in August 2017.

 

Country
France

Bridge Information

BBO Username
sollin
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None
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Boosting a Bridge Artificial Intelligence
:)
Boosting a Bridge Artificial Intelligence
Sorry for my answering late but I have asked my co-authors to answer your very interesting questions. I happen to have had the same concerns as yours when O Teytaud proposed to adapt his « seed approach » to Bridge: I could not figure out how such a method could even work ...
Boosting a Bridge Artificial Intelligence
Hi Nick, to avoid copyright pb, I created this Draft version http://vvopenai.monsite-orange.fr/file/6d60eb48fbc683d829f1727dafb7e13e.pdf
Boosting a Bridge Artificial Intelligence
I must tell you one thing, despite my name I'm not native English speaker ;) joking aside if people want to help us to correct our next article from a grammatical point of view, I will be very grateful. From a scientific point of view, I know exactly where we ...
Boosting a Bridge Artificial Intelligence
Hi Richard, thanks for your interesting comments. Concerning the cross-validation, protocol is the same than the one in the paper of Olivier Teytaud: https://www.lri.fr/~teytaud/loo.pdf The general idea is to study the impact of the best seed keeping a dozen points out of the forty ...
Boosting a Bridge Artificial Intelligence
The goal of these previous works was to study the impact of the seed on an existing AI without changing the conditions (number of simulations, PRNG etc ...). We didn't even use the huge processing power of the computing center of Paris Saclay :)
Boosting a Bridge Artificial Intelligence
Hi Nick, I can send you an author version of the paper.
Can Google's DeepMind beat the BBO Robots in 2017
Ercan: the point is that numerical approaches used by AlphaGo are successful for many applications but they are black boxes. AlphaGo is able to "compute" step by step the best move according to its training but it does not learn explicit rules. Therefore, AlphaGo can't transfer its knowledge to ...
Can Google's DeepMind beat the BBO Robots in 2017
You are right but before this crucial step, bridge programs can beneficit of new techniques developped in ML and not only from deep learning paradigm. Partition search and other ideas from Ginsberg were great but we can imagine using other new methods. For instance, I have worked since one year ...
Can Google's DeepMind beat the BBO Robots in 2017
I'm an AI researcher (in the fields of Machine Learning)and I believe that bridge can be the future challenge for AI :) I wrote a paper on the description of different challenges inherent to bridge (don't ask me for the moment, the first article being written in French ...
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