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Computer Science

D-Index
34
Citations
6123
World Ranking
12042
National Ranking
37

Overview

Manuel Lopes is affiliated with Instituto Superior Técnico in Portugal. Their research spans several main fields, notably Computer Science, Environmental Science, and Psychology, with marked contributions to subfields such as Artificial Intelligence, Sociology and Political Science, Developmental and Educational Psychology, Global and Planetary Change, and Social Psychology.

The scientist's work engages with key topics related to Educational Games and Gamification, Digital Games and Media, Machine Learning and Algorithms, Machine Learning and Data Classification, Artificial Intelligence in Games, Reinforcement Learning in Robotics, and Intelligent Tutoring Systems and Adaptive Learning.

Manuel Lopes has published papers in various venues, including:

  • Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment
  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of Psychopharmacology
  • Proceedings of the AAAI/ACM Conference on AI Ethics and Society

Recent publications by Manuel Lopes reflect their interdisciplinary focus and include:

  • "Algorithmic and Human Teaching of Sequential Decision Tasks" (2021), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Oxytocin and vasopressin modulation of prisoner's dilemma strategies" (2020), Journal of Psychopharmacology
  • "Teaching Multiple Inverse Reinforcement Learners" (2021), Frontiers in Artificial Intelligence
  • "Adoption Dynamics and Societal Impact of AI Systems in Complex Networks" (2020), Proceedings of the AAAI/ACM Conference on AI Ethics and Society
  • "Generating Game Levels by Defining Player Experiences" (2024), Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Manuel Lopes collaborates frequently with other researchers. Prominent coauthors include Pedro M. Fernandes, Francisco S. Melo, Rui Prada, Luciano Lima Correia, and João Henriques.

Best Publications

  • Information-seeking, curiosity, and attention: computational and neural mechanisms

    Jacqueline Gottlieb;Pierre-Yves Oudeyer;Pierre-Yves Oudeyer;Manuel Lopes;Manuel Lopes;Adrien Baranes

  • The iCub humanoid robot: An open-systems platform for research in cognitive development

    Giorgio Metta;Lorenzo Natale;Francesco Nori;Giulio Sandini

  • Learning Object Affordances: From Sensory--Motor Coordination to Imitation

    L. Montesano;M. Lopes;A. Bernardino;J. Santos-Victor

  • Intrinsic motivation, curiosity, and learning: Theory and applications in educational technologies.

    Pierre-Yves Oudeyer;Jacqueline Gottlieb;Manuel Lopes

  • Design of the robot-cub (iCub) head

    R. Beira;M. Lopes;M. Praca;J. Santos-Victor

  • Active Learning for Reward Estimation in Inverse Reinforcement Learning

    Manuel Lopes;Francisco Melo;Luis Montesano

  • Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress

    Manuel Lopes;Tobias Lang;Marc Toussaint;Pierre-yves Oudeyer

  • Multimodal saliency-based bottom-up attention a framework for the humanoid robot iCub

    J. Ruesch;M. Lopes;A. Bernardino;J. Hornstein

  • Affordance-based imitation learning in robots

    M. Lopes;F.S. Melo;L. Montesano

  • Visual learning by imitation with motor representations

    M. Lopes;J. Santos-Victor

  • Sound Localization for Humanoid Robots - Building Audio-Motor Maps based on the HRTF

    Jonas Hornstein;Manuel Lopes;Jose Santos-Victor;Francisco Lacerda

  • Multi-Armed Bandits for Intelligent Tutoring Systems.

    Benjamin Clement;Didier Roy;Pierre-Yves Oudeyer;Manuel Lopes

  • Learning grasping affordances from local visual descriptors

    Luis Montesano;Manuel Lopes

  • Algorithmic and human teaching of sequential decision tasks

    Maya Cakmak;Manuel Lopes

  • A Developmental Roadmap for Learning by Imitation in Robots

    M. Lopes;J. Santos-Victor

  • Parietal neurons encode expected gains in instrumental information.

    Nicholas C. Foley;Simon P. Kelly;Himanshu Mhatre;Manuel Lopes

  • Active learning for teaching a robot grounded relational symbols

    Johannes Kulick;Marc Toussaint;Tobias Lang;Manuel Lopes

  • Intrinsically motivated oculomotor exploration guided by uncertainty reduction and conditioned reinforcement in non-human primates.

    Nabil Daddaoua;Manuel Lopes;Jacqueline Gottlieb

  • Modeling affordances using Bayesian networks

    L. Montesano;M. Lopes;A. Bernardino;J. Santos-Victor

  • Postural optimization for an ergonomic human-robot interaction

    Baptiste Busch;Guilherme Maeda;Yoan Mollard;Marie Demangeat

Frequent Co-Authors

Pierre-Yves Oudeyer
Pierre-Yves Oudeyer French Institute for Research in Computer Science and Automation - INRIA
José Santos-Victor
José Santos-Victor Instituto Superior Técnico
Marc Toussaint
Marc Toussaint Technical University of Berlin
Alexandre Bernardino
Alexandre Bernardino Instituto Superior Técnico
Jacqueline Gottlieb
Jacqueline Gottlieb Columbia University
Javier Civera
Javier Civera University of Zaragoza
Claes von Hofsten
Claes von Hofsten Uppsala University
Olivier Pietquin
Olivier Pietquin Google (United States)
Freek Stulp
Freek Stulp German Aerospace Center
Giorgio Metta
Giorgio Metta Italian Institute of Technology

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