We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
: Virtualized data centers enable consolidation of multiple applications and sharing of multiple resources among these applications. However, current virtualization technologies ar...
Pradeep Padala, Kai-Yuan Hou, Kang G. Shin, Xiaoyu...
Scalable coordination is a key challenge in deployment of multiagent systems. Resource usage is one part of agent behavior which naturally lends itself to abstraction. CyberOrgs i...
The authors propose a co-adaptive approach to controlling parameters for coevolution-based learning classifier systems. By taking advantage of the on-line incremental learning capa...
We introduce a method for predicting a control signal from another related signal, and apply it to voice puppetry: Generating full facial animation from expressive information in ...