4 papers · 1 filter
Autonomy-Aware Clustering: When Local Decisions Supersede Global Prescriptions
Amber Srivastava, Salar Basiri, Srinivasa Salapaka
Clustering arises in a wide range of problem formulations, yet most existing approaches assume that the entities under clustering are passive and strictly conform to their assigned…
Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework
Amber Srivastava, Srinivasa M Salapaka
We present a framework to address a class of sequential decision making problems. Our framework features learning the optimal control policy with robustness to noisy data, determin…
A Clustering Approach to Edge Controller Placement in Software Defined Networks with Cost Balancing
Reza Soleymanifar, Amber Srivastava, Carolyn Beck +1
In this work we introduce two novel deterministic annealing based clustering algorithms to address the problem of Edge Controller Placement (ECP) in wireless edge networks. These n…
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
Amber Srivastava, Mayank Baranwal, Srinivasa Salapaka
Typically clustering algorithms provide clustering solutions with prespecified number of clusters. The lack of a priori knowledge on the true number of underlying clusters in the d…