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ORCIDMiguel Abreu
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2020 – today
- 2025
[j5]Miguel Abreu
, Luís Paulo Reis, Nuno Lau:
Addressing imperfect symmetry: A novel symmetry-learning actor-critic extension. Neurocomputing 614: 128771 (2025)- 2023
- [j4]Mohammadreza Mohades Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis, Zhibin Li:
Learning hybrid locomotion skills - Learn to exploit residual actions and modulate model-based gait control. Frontiers Robotics AI 10 (2023) - [c8]Miguel Abreu, Pedro Mota, Luís Paulo Reis, Nuno Lau, Mário Florido:
FC Portugal: RoboCup 2023 3D Simulation League Champions. RoboCup 2023: 416-427 - [i6]Nuno Lau, Luís Paulo Reis, David Simões, Mohammadreza Kasaei, Miguel Abreu, Tiago Silva, Francisco Resende:
FC Portugal 3D Simulation Team: Team Description Paper 2020. CoRR abs/2303.15931 (2023) - [i5]Miguel Abreu, Luís Paulo Reis, Nuno Lau:
Addressing Imperfect Symmetry: a Novel Symmetry-Learning Actor-Critic Extension. CoRR abs/2309.02711 (2023) - [i4]Miguel Abreu, Luís Paulo Reis, Nuno Lau:
Designing a Skilled Soccer Team for RoboCup: Exploring Skill-Set-Primitives through Reinforcement Learning. CoRR abs/2312.14360 (2023) - 2022
- [c7]Miguel Abreu, Mohammadreza Mohades Kasaei, Luís Paulo Reis, Nuno Lau:
FC Portugal: RoboCup 2022 3D Simulation League and Technical Challenge Champions. RoboCup 2022: 313-324 - 2021
- [j3]Miguel Abreu, Tiago Silva, Henrique Teixeira, Luís Paulo Reis, Nuno Lau:
6D Localization and Kicking for Humanoid Robotic Soccer. J. Intell. Robotic Syst. 102(1): 30 (2021) - [j2]Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
Robust biped locomotion using deep reinforcement learning on top of an analytical control approach. Robotics Auton. Syst. 146: 103900 (2021) - [i3]Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
A CPG-Based Agile and Versatile Locomotion Framework Using Proximal Symmetry Loss. CoRR abs/2103.00928 (2021) - [i2]Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
Robust Biped Locomotion Using Deep Reinforcement Learning on Top of an Analytical Control Approach. CoRR abs/2104.10592 (2021) - 2020
- [j1]Miguel Abreu, Paula Teixeira, Rui M. Filipe, Luís Domingues, Carla I. C. Pinheiro, Henrique A. Matos:
Modeling the deactivation of CaO-based sorbents during multiple Ca-looping cycles for CO2 post-combustion capture. Comput. Chem. Eng. 134: 106679 (2020) - [c6]Henrique Teixeira, Tiago Silva, Miguel Abreu, Luís Paulo Reis:
Humanoid Robot Kick in Motion Ability for Playing Robotic Soccer. ICARSC 2020: 34-39 - [i1]Mohammadreza Kasaei, Miguel Abreu, Nuno Lau, Artur Pereira, Luís Paulo Reis:
A Hybrid Biped Stabilizer System Based on Analytical Control and Learning of Symmetrical Residual Physics. CoRR abs/2011.13798 (2020)
2010 – 2019
- 2019
- [c5]Miguel Abreu, Nuno Lau, Armando Sousa, Luís Paulo Reis:
Learning low level skills from scratch for humanoid robot soccer using deep reinforcement learning. ICARSC 2019: 1-8 - [c4]Miguel Abreu, Luís Paulo Reis, Henrique Lopes Cardoso:
Learning high-level robotic soccer strategies from scratch through reinforcement learning. ICARSC 2019: 1-7 - [c3]Miguel Abreu, Rosaldo J. F. Rossetti, Luís Paulo Reis:
xSS: A Soccer Server extension for automated learning of high-level robotic soccer strategies. ICARSC 2019: 1-8 - [c2]Miguel Abreu, Luís Paulo Reis, Nuno Lau:
Learning to Run Faster in a Humanoid Robot Soccer Environment Through Reinforcement Learning. RoboCup 2019: 3-15 - 2018
- [c1]Piyaporn Tumnark, Miguel Abreu, Miguel Macedo, Paulo Cardoso, Jorge Cabral, Filipe Conceição:
Modelling Weightlifting "Training-Diet-Competition" Cycle Ontology with Domain and Task Ontologies. KEOD 2018: 205-212
Coauthor Index
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