20 citations · 39 across the 10 of their papers we have counts for
4 papers · 1 filter
Entropy-Regularized Partially Observed Markov Decision Processes
Timothy L. Molloy, Girish N. Nair
We investigate partially observed Markov decision processes (POMDPs) with cost functions regularized by entropy terms describing state, observation, and control uncertainty. Standa…
Smoother Entropy for Active State Trajectory Estimation and Obfuscation in POMDPs
Timothy L. Molloy, Girish N. Nair
We study the problem of controlling a partially observed Markov decision process (POMDP) to either aid or hinder the estimation of its state trajectory. We encode the estimation ob…
Active Trajectory Estimation for Partially Observed Markov Decision Processes via Conditional Entropy
Timothy L. Molloy, Girish N. Nair
In this paper, we consider the problem of controlling a partially observed Markov decision process (POMDP) in order to actively estimate its state trajectory over a fixed horizon w…
Smoothing-Averse Control: Covertness and Privacy from Smoothers
Timothy L. Molloy, Girish N. Nair
In this paper we investigate the problem of controlling a partially observed stochastic dynamical system such that its state is difficult to infer using a (fixed-interval) Bayesian…