We study the problem of improving the user perceived quality of online games in which multiple players form a game session and exchange game-state updates over an overlay network....
This paper proposes an Integrated MDP and POMDP Learning AgeNT (IMPLANT) architecture for adaptation in modern games. The modern game world basically involves a human player actin...
We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize ...
This work describes a technique for improving network performance in Grid environments that we refer to as “logistics.” We demonstrate that by using storage and cooperative fo...
Traditional artificial intelligence techniques do not perform well in applications such as real-time strategy games because of the extensive search spaces which need to be explore...