Monday 13 November 2017

Webinar: Bridge: a New Challenge for AI? – Véronique Ventos (Nov 20)






Speaker

Dr. Veronique Ventos, Associate Professor, University Paris Saclay Abstract

Games have always been an excellent field of experimentation for the nascent techniques in computer science and in different areas of Artificial Intelligence including Machine Learning. Despite their complexity, game problems are much easier to understand and to model than real life problems. Systems initially designed for games are then used in the context of real applications. In the last decades, designs of champion-level systems dedicated to a game (game AI) were considered as milestones of computer science and AI.
The first part of the webinar is devoted to the presentation of the different aspects of bridge and of various challenges inherent to it.
In a second part, we will present our work concerning the optimization of the AI Wbridge5 developed by Yves Costel. This work is based on a recent seed methodology which optimizes the quality of Monte-Carlo simulations and which has been defined and validated in other games. The Wbridge5 version boosted with this method won the World Computer-Bridge Championship twice, in September 2016 and in August 2017.
Finally, the last part is about various ongoing works related to the design of a hybrid architecture entirely dedicated to bridge using recent numeric and symbolic Machine Learning modules. Biography

PhD in Artificial Intelligence (Knowledge Representation and Machine Learning) in 1997. Associate professor at University Paris Saclay, France since 1998. Before joining in 2015 the group A&O in the interplay of Machine Learning and Optimization, she worked in the group LaHDAK (Large-scale Heterogeneous DAta and Knowledge) at Laboratory of Computer Science (LRI). She started playing bridge in 2004 and is now 59th French woman player out of 48644 players. In 2015, she set up the AlphaBridge project combining her two passions. AlphaBridge is dedicated to solve the game of bridge by defining a hybrid architecture including recent numeric and symbolic ML modules.


Register at: https://register.gotowebinar.com/register/6958887543473419777

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