Zobrazeno 1 - 10
of 2 794
pro vyhledávání: '"Luís, Paulo"'
Autor:
Ramôa, Mafalda, Anastasiou, Panagiotis G., Santos, Luis Paulo, Mayhall, Nicholas J., Barnes, Edwin, Economou, Sophia E.
Adaptive variational quantum algorithms arguably offer the best prospects for quantum advantage in the NISQ era. Since the inception of the first such algorithm, ADAPT-VQE, many improvements have appeared in the literature. We combine the key improve
Externí odkaz:
http://arxiv.org/abs/2407.08696
This research explores the trainability of Parameterized Quantum circuit-based policies in Reinforcement Learning, an area that has recently seen a surge in empirical exploration. While some studies suggest improved sample complexity using quantum gr
Externí odkaz:
http://arxiv.org/abs/2406.09614
Machine learning interatomic potentials (MLIPs) are one of the main techniques in the materials science toolbox, able to bridge ab initio accuracy with the computational efficiency of classical force fields. This allows simulations ranging from atoms
Externí odkaz:
http://arxiv.org/abs/2403.04217
Reinforcement Learning (RL) consists of designing agents that make intelligent decisions without human supervision. When used alongside function approximators such as Neural Networks (NNs), RL is capable of solving extremely complex problems. Deep Q-
Externí odkaz:
http://arxiv.org/abs/2401.11555
Adaptive protocols enable the construction of more efficient state preparation circuits in variational quantum algorithms (VQAs) by utilizing data obtained from the quantum processor during the execution of the algorithm. This idea originated with AD
Externí odkaz:
http://arxiv.org/abs/2401.05172
Autor:
Reis, Luis Paulo
This paper presents the concepts of Artificial Intelligence, Multi-Agent-Systems, Coordination, Intelligent Robotics and Deep Reinforcement Learning. Emphasis is given on and how AI and DRL, may be efficiently used to create efficient robot skills an
Externí odkaz:
http://arxiv.org/abs/2312.16273
The RoboCup 3D Soccer Simulation League serves as a competitive platform for showcasing innovation in autonomous humanoid robot agents through simulated soccer matches. Our team, FC Portugal, developed a new codebase from scratch in Python after Robo
Externí odkaz:
http://arxiv.org/abs/2312.14360
Symmetry, a fundamental concept to understand our environment, often oversimplifies reality from a mathematical perspective. Humans are a prime example, deviating from perfect symmetry in terms of appearance and cognitive biases (e.g. having a domina
Externí odkaz:
http://arxiv.org/abs/2309.02711
Autor:
Lau, Nuno, Reis, Luis Paulo, Simoes, David, Abreu, Mohammadreza Kasaei. Miguel, Silva, Tiago, Resende, Francisco
The FC Portugal 3D team is developed upon the structure of our previous Simulation league 2D/3D teams and our standard platform league team. Our research concerning the robot low-level skills is focused on developing behaviors that may be applied on
Externí odkaz:
http://arxiv.org/abs/2303.15931
Autor:
Joaquim J. Sousa, Jiahui Lin, Qun Wang, Guang Liu, Jinghui Fan, Shibiao Bai, Hongli Zhao, Hongyu Pan, Wenjing Wei, Vanessa Rittlinger, Peter Mayrhofer, Ruth Sonnenschein, Stefan Steger, Luís Paulo Reis
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 552-571 (2024)
Remote sensing, particularly satellite-based, can play a valuable role in monitoring areas prone to geohazards. The high spatial and temporal coverage provided by satellite data can be used to reconstruct past events and continuously monitor sensitiv
Externí odkaz:
https://doaj.org/article/f469f90e55b44d11982c4c2e08f6b0aa
