Manuel Lopes

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 32

Top Topics

Reinforcement Learning

Waste Collection

Intelligent Tutoring

Top Venues

Publications

Carolina Soares de Morais, Tânia Rodrigues Pereira Ramos, Manuel Lopes, Ana Paula F. D. Barbosa-Póvoa
A data-driven optimization approach to plan smart waste collection operations. Int. Trans. Oper. Res. 31 (4) (2024)
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
Body Schema Acquisition through Active Learning. CoRR (2024)
Rustam Zayanov, Francisco S. Melo, Manuel Lopes
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback. ICAART (1) (2024)
Rustam Zayanov, Francisco S. Melo, Manuel Lopes
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback. CoRR (2023)
Pedro M. Fernandes, Manuel Lopes, Rui Prada
Persona Agents from Playtraces and Emotion. AIIDE (2023)
Manuel Lopes, Tânia R. P. Ramos
Efficient sensor placement and online scheduling of bin collection. Comput. Oper. Res. 151 (2023)
Carla Guerra, Francisco S. Melo, Manuel Lopes
FIT: Using Feature Importance to Teach Classification Tasks to Unknown Learners. EPIA (2022)
Ricardo Martins, Rui Abreu, Manuel Lopes, João Nadkarni
Supervised Learning for Test Suit Selection in Continuous Integration. ICST Workshops (2021)
Francisco S. Melo, Manuel Lopes
Teaching Multiple Inverse Reinforcement Learners. Frontiers Artif. Intell. 4 (2021)
Carla Guerra, Francisco S. Melo, Manuel Lopes
Interactive Teaching with Groups of Unknown Bayesian Learners. AIED (2) (2021)
Pedro M. Fernandes, Manuel Lopes, Rui Prada
Agents for Automated User Experience Testing. ICST Workshops (2021)
Carla Guerra, Francisco S. Melo, Manuel Lopes
Teaching Unknown Learners to Classify via Feature Importance. AAMAS (2021)
Pedro M. Fernandes, Manuel Lopes, Rui Prada
Agents for Automated User Experience Testing. CoRR (2021)
Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes
Adoption Dynamics and Societal Impact of AI Systems in Complex Networks. AIES (2020)
Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes
Norms for beneficial A.I.: A computational analysis of the societal value alignment problem. AI Commun. 33 (3-6) (2020)
Antonio Capela, Samuel Mascarenhas, Pedro Alexandre Santos, Manuel Lopes
An Adaptive and Transferable Dialog Management System for Social Aware Task Execution. EPIA (2) (2019)
Francisco Azeiteiro, Manuel Lopes
Between Clones and Snow-Flakes: Personalization in Intelligent Tutoring Systems. EPIA (1) (2019)
Pedro M. Fernandes, Francisco C. Santos, Manuel Lopes
Norms for Beneficial A.I.: A Computational Analysis of the Societal Value Alignment Problem. CoRR (2019)
Manuel Lopes, Francisco S. Melo
Class Teaching for Inverse Reinforcement Learners. CoRR (2019)
Thibaut Munzer, Marc Toussaint, Manuel Lopes
Efficient behavior learning in human-robot collaboration. Auton. Robots 42 (5) (2018)
Baptiste Busch, Marc Toussaint, Manuel Lopes
Planning Ergonomic Sequences of Actions in Human-Robot Interaction. ICRA (2018)
Francisco S. Melo, Carla Guerra, Manuel Lopes
Interactive Optimal Teaching with Unknown Learners. IJCAI (2018)
Thibaut Munzer, Yoan Mollard, Manuel Lopes
Impact of Robot Initiative on Human-Robot Collaboration. HRI (Companion) (2017)
Baptiste Busch, Guilherme Maeda, Yoan Mollard, Marie Demangeat, Manuel Lopes
Postural optimization for an ergonomic human-robot interaction. IROS (2017)
Baptiste Busch, Jonathan Grizou, Manuel Lopes, Freek Stulp
Learning Legible Motion from Human-Robot Interactions. Int. J. Soc. Robotics 9 (5) (2017)
Pablo Azagra, Florian Golemo, Yoan Mollard, Manuel Lopes, Javier Civera, Ana C. Murillo
A multimodal dataset for object model learning from natural human-robot interaction. IROS (2017)
Thibaut Munzer, Marc Toussaint, Manuel Lopes
Preference learning on the execution of collaborative human-robot tasks. ICRA (2017)
Marc Toussaint, Manuel Lopes
Multi-bound tree search for logic-geometric programming in cooperative manipulation domains. ICRA (2017)
Xiaojin Zhu, Ji Liu, Manuel Lopes
No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously. IJCAI (2017)
Pierre-Yves Oudeyer, Manuel Lopes, Celeste Kidd, Jacqueline Gottlieb
Curiosity and Intrinsic Motivation for Autonomous Machine Learning. ERCIM News 2016 (107) (2016)
Benjamin Clement, Pierre-Yves Oudeyer, Manuel Lopes
A Comparison of Automatic Teaching Strategies for Heterogeneous Student Populations. EDM (2016)
Marc Toussaint, Thibaut Munzer, Yoan Mollard, Li Yang Wu, Ngo Anh Vien, Manuel Lopes
Relational activity processes for modeling concurrent cooperation. ICRA (2016)
Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer, Manuel Lopes
Multi-Armed Bandits for Intelligent Tutoring Systems. EDM (2015)
Freek Stulp, Jonathan Grizou, Baptiste Busch, Manuel Lopes
Facilitating intention prediction for humans by optimizing robot motions. IROS (2015)
Yoan Mollard, Thibaut Munzer, Andrea Baisero, Marc Toussaint, Manuel Lopes
Robot programming from demonstration, feedback and transfer. IROS (2015)
Andrea Baisero, Yoan Mollard, Manuel Lopes, Marc Toussaint, Ingo Lütkebohle
Temporal segmentation of pair-wise interaction phases in sequential manipulation demonstrations. IROS (2015)
Thibaut Munzer, Bilal Piot, Matthieu Geist, Olivier Pietquin, Manuel Lopes
Inverse Reinforcement Learning in Relational Domains. IJCAI (2015)
Anna-Lisa Vollmer, Jonathan Grizou, Manuel Lopes, Katharina J. Rohlfing, Pierre-Yves Oudeyer
Studying the co-construction of interaction protocols in collaborative tasks with humans. ICDL-EPIROB (2014)
Brice Miard, Pierre Rouanet, Jonathan Grizou, Manuel Lopes, Jacqueline Gottlieb, Adrien Baranes, Pierre-Yves Oudeyer
A new experimental setup to study the structure of curiosity-driven exploration in humans. ICDL-EPIROB (2014)
Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes
Interactive Learning from Unlabeled Instructions. UAI (2014)
Benjamin Clement, Pierre-Yves Oudeyer, Didier Roy, Manuel Lopes
Online Optimization of Teaching Sequences with Multi-Armed Bandits. EDM (2014)
Jonathan Grizou, Iñaki Iturrate, Luis Montesano, Pierre-Yves Oudeyer, Manuel Lopes
Calibration-Free BCI Based Control. AAAI (2014)
Manuel Lopes, Luis Montesano
Active Learning for Autonomous Intelligent Agents: Exploration, Curiosity, and Interaction. CoRR (2014)
Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer, Manuel Lopes
Developmental learning for Intelligent Tutoring Systems. ICDL-EPIROB (2014)
Francisco S. Melo, Manuel Lopes
Multi-class Generalized Binary Search for Active Inverse Reinforcement Learning CoRR (2013)
Javier Almingol, Luis Montesano, Manuel Lopes
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space. ICML (3) (2013)
Manuel Lopes, Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer
Multi-Armed Bandits for Intelligent Tutoring Systems. CoRR (2013)
Johannes Kulick, Marc Toussaint, Tobias Lang, Manuel Lopes
Active Learning for Teaching a Robot Grounded Relational Symbols. IJCAI (2013)
Jonathan Grizou, Manuel Lopes, Pierre-Yves Oudeyer
Robot learning simultaneously a task and how to interpret human instructions. ICDL-EPIROB (2013)
Todd Hester, Manuel Lopes, Peter Stone
Learning exploration strategies in model-based reinforcement learning. AAMAS (2013)
Manuel Lopes, Pierre-Yves Oudeyer
The strategic student approach for life-long exploration and learning. ICDL-EPIROB (2012)
Luis Montesano, Manuel Lopes
Active learning of visual descriptors for grasping using non-parametric smoothed beta distributions. Robotics Auton. Syst. 60 (3) (2012)
Manuel Lopes, Tobias Lang, Marc Toussaint, Pierre-Yves Oudeyer
Exploration in Model-based Reinforcement Learning by Empirically Estimating Learning Progress. NIPS (2012)
Maya Cakmak, Manuel Lopes
Algorithmic and Human Teaching of Sequential Decision Tasks. AAAI (2012)
Manuel Lopes, Thomas Cederbourg, Pierre-Yves Oudeyer
Simultaneous acquisition of task and feedback models. ICDL-EPIROB (2011)
Francisco S. Melo, Manuel Lopes
Learning from Demonstration Using MDP Induced Metrics. ECML/PKDD (2) (2010)
Francisco S. Melo, Manuel Lopes, Ricardo Ferreira
Analysis of Inverse Reinforcement Learning with Perturbed Demonstrations. ECAI (2010)
Ruben Martinez-Cantin, Manuel Lopes, Luis Montesano
Body schema acquisition through active learning. ICRA (2010)
Giorgio Metta, Lorenzo Natale, Francesco Nori, Giulio Sandini, David Vernon, Luciano Fadiga, Claes von Hofsten, Kerstin Rosander, Manuel Lopes, José Santos-Victor, Alexandre Bernardino, Luis Montesano
The iCub humanoid robot: An open-systems platform for research in cognitive development. Neural Networks 23 (8-9) (2010)
Manuel Lopes, Pierre-Yves Oudeyer
Guest Editorial Active Learning and Intrinsically Motivated Exploration in Robots: Advances and Challenges. IEEE Trans. Auton. Ment. Dev. 2 (2) (2010)
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventura, Jonas Ruesch
Towards a Spatial Model for Humanoid Social Robots. EPIA (2009)
Manuel Lopes, Francisco S. Melo, Luis Montesano
Active Learning for Reward Estimation in Inverse Reinforcement Learning. ECML/PKDD (2) (2009)
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventura, Jonas Ruesch
From pixels to objects: Enabling a spatial model for humanoid social robots. ICRA (2009)
Manuel Lopes, Francisco S. Melo, Ben Kenward, José Santos-Victor
A Computational Model of Social-Learning Mechanisms. Adapt. Behav. 17 (6) (2009)
Francisco S. Melo, Manuel Lopes
Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs. ECML/PKDD (2) (2008)
Luis Montesano, Manuel Lopes, Alexandre Bernardino, José Santos-Victor
Learning Object Affordances: From Sensory-Motor Coordination to Imitation. IEEE Trans. Robotics 24 (1) (2008)
Jonas Ruesch, Manuel Lopes, Alexandre Bernardino, Jonas Hörnstein, José Santos-Victor, Rolf Pfeifer
Multimodal saliency-based bottom-up attention a framework for the humanoid robot iCub. ICRA (2008)
Manuel Lopes, Bruno D. Damas
A learning framework for generic sensory-motor maps. IROS (2007)
Manuel Lopes, Francisco S. Melo, Luis Montesano
Affordance-based imitation learning in robots. IROS (2007)
Luis Montesano, Manuel Lopes, Alexandre Bernardino, José Santos-Victor
Modeling affordances using Bayesian networks. IROS (2007)
Manuel Lopes, José Santos-Victor
A Developmental Roadmap for Learning by Imitation in Robots. IEEE Trans. Syst. Man Cybern. Part B 37 (2) (2007)
Jonas Hörnstein, Manuel Lopes, José Santos-Victor, Francisco Lacerda
Sound Localization for Humanoid Robots - Building Audio-Motor Maps based on the HRTF. IROS (2006)
Manuel Lopes, José Santos-Victor
Learning Sensory-Motor Maps for Redundant Robots. IROS (2006)
Nicolas Mansard, Manuel Lopes, José Santos-Victor, François Chaumette
Jacobian Learning Methods for Tasks Sequencing in Visual Servoing. IROS (2006)
Ricardo Beira, Manuel Lopes, Miguel Praça, José Santos-Victor, Alexandre Bernardino, Giorgio Metta, Francesco Becchi, Roque J. Saltarén
Design of the Robot-cub (iCub) Head. ICRA (2006)
Manuel Lopes, José Santos-Victor
Visual learning by imitation with motor representations. IEEE Trans. Syst. Man Cybern. Part B 35 (3) (2005)
Manuel Lopes, Ricardo Beira, Miguel Praça, José Santos-Victor
An anthropomorphic robot torso for imitation: design and experiments. IROS (2004)
Pedro U. Lima, Luís M. M. Custódio, Bruno D. Damas, Manuel Lopes, Carlos F. Marques, Luis Toscano, Rodrigo M. M. Ventura
ISocRob 2001 Team Description. RoboCup (2001)