29 citations · 53 across the 10 of their papers we have counts for
10 papers
A Biologically-Inspired Computational Model of Time Perception
Inês Lourenço, Robert Mattila, Rodrigo Ventura +1
Time perception - how humans and animals perceive the passage of time - forms the basis for important cognitive skills such as decision-making, planning, and communication. In this…
Cooperative System Identification via Correctional Learning
Inês Lourenço, Robert Mattila, Cristian R. Rojas +1
We consider a cooperative system identification scenario in which an expert agent (teacher) knows a correct, or at least a good, model of the system and aims to assist a learner-ag…
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making
Inês Lourenço, Robert Mattila, Cristian R. Rojas +1
We consider a counter-adversarial sequential decision-making problem where an agent computes its private belief (posterior distribution) of the current state of the world, by filte…
Inverse Filtering for Hidden Markov Models with Applications to Counter-Adversarial Autonomous Systems
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy +1
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…
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems
Robert Mattila, Inês Lourenço, Vikram Krishnamurthy +2
We consider fixed-interval smoothing problems for counter-adversarial autonomous systems. An adversary deploys an autonomous filtering and control system that i) measures our curre…
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy +1
This paper discusses algorithms for solving Markov decision processes (MDPs) that have monotone optimal policies. We propose a two-stage alternating convex optimization scheme that…
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy +1
We consider estimating the transition probability matrix of a finite-state finite-observation alphabet hidden Markov model with known observation probabilities. The main contributi…
A Markov Decision Process Model to Guide Treatment of Abdominal Aortic Aneurysms
Robert Mattila, Antti Siika, Joy Roy +1
An abdominal aortic aneurysm (AAA) is an enlargement of the abdominal aorta which, if left untreated, can progressively widen and may rupture with fatal consequences. In this paper…
An Iterative Abstraction Algorithm for Reactive Correct-by-Construction Controller Synthesis
Robert Mattila, Yilin Mo, Richard M. Murray
In this paper, we consider the problem of synthesizing correct-by-construction controllers for discrete-time dynamical systems. A commonly adopted approach in the literature is to…
Evaluation of Spectral Learning for the Identification of Hidden Markov Models
Robert Mattila, Cristian R. Rojas, Bo Wahlberg
Hidden Markov models have successfully been applied as models of discrete time series in many fields. Often, when applied in practice, the parameters of these models have to be est…