A. Pedro Aguiar

Cooperative Joint Estimation and Localization using Mobile Multi-agent Systems: A Minimum Energy Estimator Approach

2018

This paper investigates the problem of joint localization and target tracking using mobile multi-agent networks. We consider the challenge situation that each agent only has partially observation of the target system and also needs to …

Decoding Reinforcement Learning for newcomers

2023 · IEEE Access

The Reinforcement Learning (RL) paradigm is showing promising results as a generic purpose framework for solving decision-making problems (e.g., robotics, games, finance). The aim of this work is to reduce the learning barriers and inspire …

Quantum-Assisted Learning of Time-Dependent Parabolic PDEs

2025

We present a hybrid quantum-classical framework for solving general time-dependent parabolic partial differential equations (PDEs) using quantum variational circuits. Building on the QPINN approach, this method applies broadly to parabolic PDEs. To demonstrate its effectiveness, …

A Trainable-Embedding Quantum Physics-Informed Framework for Multi-Species Reaction-Diffusion Systems

2026 · Open MIND

Physics-informed neural networks (PINNs) and hybrid quantum-classical extensions provide a promising framework for solving partial differential equations (PDEs) by embedding physical laws directly into the learning process. In this work, we study embedding strategies for …