Page 17 - சிங்கப்பூர் பல்கலைக்கழகம் ஆஃப் தொழில்நுட்பம் News Today : Breaking News, Live Updates & Top Stories | Vimarsana

 E-Mail IMAGE: Equilibrium manifolds of learning agents in two famous games, Stag Hunt and Battle of the Sexes. view more  Credit: SUTD Game theory is known to be a useful tool in the study of Machine Learning (ML) and Artificial Intelligence (AI) Multi-Agent interactions. One basic component of these ML and AI systems is the exploration-exploitation trade-off, a fundamental dilemma between taking a risk with new actions in the quest for more information about the environment (exploration) and repeatedly selecting actions that result in the current maximum reward or (exploitation). However, the outcome of the exploration-exploitation process is often unpredictable in practice and the reasons behind its volatile performance have been a long-standing open question in the ML and AI communities.

Georgios piliourasStefanos leonardosSingapore university of technologyMachine learningArtificial intelligenceAssistant professor georgios piliourasSingapore universityCatastrophe theoryMulti agent learningCatastrophe theory meets gameBest paper awardMathematics statisticsTheoretical sciencesComputer theoryTechnology engineering computer scienceTheory design