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Research Areas

Applied Games

Our mission is to leverage the methods of machine learning and game theory for addressing relevant applications both in recreational games and in abstract decision games played in the real world.


Game AI
 

Game AI
Learning human-like abilities to interact in a game world ranging from opponents in Go to team members in a first person shooter game.

 
Skill and Preference
 

Skill and Preference
Learning about people’s skills and preference in an (online) universe for better matchmaking and improved online gaming experience.


People

Primary Contacts: Ralf Herbrich or Thore Graepel

Thore Graepel Ralf Herbrich Joaquin Quinonero Candela David Stern Phil Trelford
Graepel,
Thore
Herbrich,
Ralf
Quiñonero
Candela,

Joaquin
Stern,
David
Trelford,
Phil

“I enjoyed my time here and learned a lot both scientifically and personally, my true opinion is that MSRC is one of the best places in the world to work in research and I actively recommend people to spend some time here. ”

— Bastiaan de Groot , Intern 2007, Microsoft Research Cambridge

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