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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
Nov. 30
Member Type
Bridge Player
about me

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.



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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 ...
20th Ourgame World Computer-Bridge Championship
I am a researcher in Artificial Intelligence in a machine learning team in Paris and sometimes a bridge player ;). I work on AI techniques related to numerous bridge challenges. For us, this game is like the goose that lays the golden egg (actually huge amount of robust data in a ...

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