Session

Teach your Pacman to play with Machine Learning and Reactive Streams

Today the adoption of Machine Learning is enormous. We use it almost everywhere: on clusters, on our phones, on hand watches and even on the teapots. But, who knows how challenging could be the development of the continuously improved (or even real-time) machine learning. Servers' capacity, stability, performance, along with a proper ML algorithm selection and many other properties must be taken into account. In this presentation, we will be demonstrating bots education for multiplayer Pacman game. We will show how elegant could be the development of such a problem with Kafka, Akka, RSocket and Reinforcement/Q Learning.

Co-presentation with International speaker, Oleh Dokuka. First presentation at Codemotion Berlin 2019, subsequent presentations include JFuture Minsk 2019 (voted second favorite by audience).

Mary Grygleski

AI Practice Lead, TED/x Speaker, Technical Advocate, Java Champion, President of Chicago-JUG, Chapter Co-Lead of AICamp-Chicago

Chicago, Illinois, United States

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