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eess.SY2026
Adaptive Agent Design
Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Başar
We consider an agent acting against a general non-Markovian environment. The agent maintains its agent states, but is free to choose a transition kernel across those states and opt…
eess.SY2020
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…