72 citations · 73 across the 5 of their papers we have counts for
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math.OC2017
Sufficient conditions for the value function and optimal strategy to be even and quasi-convex
Jhelum Chakravorty, Aditya Mahajan
Sufficient conditions are identified under which the value function and the optimal strategy of a Markov decision process (MDP) are even and quasi-convex in the state. The key idea…
math.OC2017
Structure of optimal strategies for remote estimation over Gilbert-Elliott channel with feedback
Jhelum Chakravorty, Aditya Mahajan
We investigate remote estimation over a Gilbert-Elliot channel with feedback. We assume that the channel state is observed by the receiver and fed back to the transmitter with one…
math.OC2015
Fundamental limits of remote estimation of autoregressive Markov processes under communication constraints
Jhelum Chakravorty, Aditya Mahajan
The fundamental limits of remote estimation of Markov processes under communication constraints are presented. The remote estimation system consists of a sensor and an estimator. T…