Inês Lourenço

According to our database, Inês Lourenço authored at least 14 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning.

Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg

CoRR, 2023

Optimal Transport for Correctional Learning.

Rebecka Winqvist, Inês Lourenço, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Diagnosing and Repairing Feature Representations Under Distribution Shifts.

Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

A Biologically Inspired Computational Model of Time Perception.

Inês Lourenço, Robert Mattila, Rodrigo M. M. Ventura, Bo Wahlberg

IEEE Trans. Cogn. Dev. Syst., 2022

A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning^*.

Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection.

Inês Lourenço, Robert Mattila, Cristian R. Rojas, Xiaoming Hu, Bo Wahlberg

J. Syst. Sci. Complex., 2021

A teacher-student framework for online correctional learning.

Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg

CoRR, 2021

2020

Cooperative System Identification via Correctional Learning.

Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg

CoRR, 2020

Teaching Robots to Perceive Time: A Twofold Learning Approach.

Inês Lourenço, Rodrigo M. M. Ventura, Bo Wahlberg

Proceedings of the Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics, 2020

What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.

Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making.

Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions.

Robert Mattila, Inês Lourenço, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg

IEEE Control. Syst. Lett., 2019

Teaching robots to perceive time - A reinforcement learning approach (Extended version).

Inês Lourenço, Bo Wahlberg, Rodrigo Ventura

CoRR, 2019

What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.

Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg

CoRR, 2019