PORTALE DELLA DIDATTICA

Ricerca CERCA
  KEYWORD

AI-assisted optimization of cloud gaming experience

keywords ARTIFICIAL INTELLIGENCE, CLOUD COMPUTING, ONLINE GAMING

Reference persons PAOLO GIACCONE

External reference persons German Sviridov (german.sviridov@polito.it)

Research Groups Telecommunication Networks Group

Thesis type SIMULATIVE AND EXPERIMENTAL

Description Recent advances in Deep Reinforcement Learning showed how artificial agents are able to play even complex video games (e.g., Doom, Starcraft, Super Mario Smash Bros) at human level. While the research community is focused on developing complex AI with the goal of outperforming human players, possible applications in the field of networking are still to be explored.

This thesis will focus on the analysis of the Quality of Experience (QoE) in video games by considering the emerging cloud gaming scenario.
Artificial agents will be used to emulate human players and the obtained results will be employed to perform game-aware network optimization (e.g., scheduling, resource-allocation, traffic prioritization).


Deadline 20/09/2020      PROPONI LA TUA CANDIDATURA