Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems
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DOI: 10.1109/tsp.2020.3019177
Abstract: Bayesian filtering deals with computing the posterior distribution of the state of a stochastic dynamic system given noisy observations. In this paper, motivated by applications in counter-adversarial autonomous systems, we consider the following inverse filtering… read more here.
Keywords: autonomous systems; applications counter; counter adversarial; inverse filtering ... See more keywords