This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
— Achieving the Nash equilibria for single objective games is known to be a computationally difficult problem. However there is a special class of equilibria called evolutionary...
The unprecedented growth of data at geographically distributed locations coupled with tremendous improvement in networking capabilities over the last decade strongly motivate the ...
This paper presents a technique, adaptive replication, for automatically eliminating synchronization bottlenecks in multithreaded programs that perform atomic operations on object...
Efficient data access is one way of improving the performance of the Data Grid. In order to speed up the data access and reduce bandwidth consumption, Data Grid replicates essenti...