Research in temporal databases has mainly focused on defining temporal data models by extending existing models, and developing access structures for temporal data. Little has bee...
Due to computational intractability, large scale coordination algorithms are necessarily heuristic and hence require tuning for particular environments. In domains where character...
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
Soft objects are often desired in applications such as virtual surgery training. Soft object simulations are computationally intensive because object deformation involves numerica...
In this paper we propose a new two-level methodology for assessing countries’/companies’ economic/financial performance. The methodology is based on two major techniques of gr...