3 citations · 6 across the 4 of their papers we have counts for
4 papers
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…
Teaching robots to perceive time -- A reinforcement learning approach (Extended version)
Inês Lourenço, Bo Wahlberg, Rodrigo Ventura
Time perception is the phenomenological experience of time by an individual. In this paper, we study how to replicate neural mechanisms involved in time perception, allowing robots…
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…