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Research activities: Optimal decision making under uncertainty
The optimal decision making under uncertainty research group in A&O/TAO elaborates on the expertise gained with the world level computer-Go player MoGo, aimed at advances in reinforcement learning and noisy optimization. The motivating applications lie in the domains of energy management and games.


Groups
  Learning and Optimization

Joint Inria project teams


Research highlights


Contracts & grants


Software & patents


Collaborations


Members
  DUPIN Nicolas

Ph.D. dissertations & Faculty habilitations



Research activities