2 citations · 4 across the 21 of their papers we have counts for
4 papers · 1 filter
On Determining and Qualifying the Number of Superstates in Aggregation of Markov Chains
Amber Srivastava, Raj K. Velicheti, Srinivasa M. Salapaka
Many studies involving large Markov chains require determining a smaller representative (aggregated) chains. Each {\em superstate} in the representative chain represents a {\em gro…
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…
Isochronous Architecture-Based Voltage-Active Power Droop for Multi-Inverter Systems
Sourav Patel, Soham Chakraborty, Blake Lundstrom +2
Advanced microgrids consisting of distributed energy resources interfaced with multi-inverter systems are becoming more common. Consequently, the effectiveness of voltage and frequ…
Inequality Constraints in Facility Location and Other Similar Optimization Problems: An Entropy Based Approach
Amber Srivastava, Gabriel Barsi Haberfeld, Naira Hovakimyan +1
In this paper we propose an annealing based framework to incorporate inequality constraints in optimization problems such as facility location, simultaneous facility location with…