publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. Can Transformers Smell Like Humans?
    Farzaneh Taleb, Miguel Vasco, Antonio H. Ribeiro, and 2 more authors
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  2. NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks
    Bernardo Esteves, Miguel Vasco, and Francisco S. Melo
    In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
  3. RLC
    rlc_2024.gif
    A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo
    Miguel Vasco*, Takuma Seno*, Kenta Kawamoto, and 3 more authors
    Reinforcement Learning Journal, 2024
  4. hcii_2024.png
    Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics
    Yuchong Zhang, Miguel Vasco, Mårten Björkman, and 1 more author
    In International Conference on Human-Computer Interaction, 2024
  5. goal_condition.png
    Goal-Conditioned Offline Reinforcement Learning via Metric Learning
    Alfredo Reichlin, Miguel Vasco, Hang Yin, and 1 more author
    arXiv preprint arXiv:2402.10820, 2024
  6. Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning
    Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, and 4 more authors
    In Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

  1. epia_2023.png
    Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning
    Bernardo Esteves, Miguel Vasco, and Francisco S. Melo
    In EPIA Conference on Artificial Intelligence, 2023
  2. roman_2023.png
    Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study
    Nona Rajabi, Parag Khanna, Sumeyra U Demir Kanik, and 5 more authors
    In 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2023
  3. hcii_2023.png
    Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface
    Nona Rajabi, Charles Chernik, Alfredo Reichlin, and 5 more authors
    In International Conference on Human-Computer Interaction, 2023

2022

  1. iros_2022.png
    Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
    Fábio Vital, Miguel Vasco, Alberto Sardinha, and 1 more author
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
  2. Geometric Multimodal Contrastive Representation Learning
    Petra Poklukar*Miguel Vasco*, Hang Yin, and 3 more authors
    In Proceedings of the 39th International Conference on Machine Learning, 2022
  3. How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents
    Miguel Vasco, Hang Yin, Francisco S. Melo, and 1 more author
    In 21st International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2022
  4. Neural Networks
    nn_2022.png
    Leveraging hierarchy in multimodal generative models for effective cross-modality inference
    Miguel Vasco, Hang Yin, Francisco S. Melo, and 1 more author
    Neural Networks (2021 Special Issue on AI and Brain Science: Brain-inspired AI), 2022

2021

  1. epia_2021.png
    Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning
    Pedro Ildefonso, Pedro Remédios, Rui Silva, and 4 more authors
    In EPIA Conference on Artificial Intelligence, 2021

2020

  1. Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning
    Rui Silva, Miguel Vasco, Francisco S. Melo, and 2 more authors
    In 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2020
  2. icsr_2020.png
    Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios
    Silvia Tulli, Marta Couto, Miguel Vasco, and 3 more authors
    In International Conference on Social Robotics (ICSR), 2020
  3. Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer
    Miguel Vasco
    In Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2020
    Doctoral Consortium of AAMAS 2020
  4. mhvae_2020.png
    MHVAE: a Human-inspired Deep Hierarchical Generative Model for Multimodal Representation Learning
    Miguel Vasco, Francisco S. Melo, and Ana Paiva
    arXiv preprint arXiv:2006.02991, 2020

2019

  1. iros_2019.png
    Learning multimodal representations for sample-efficient recognition of human actions
    Miguel Vasco, Francisco S. Melo, David Martins Matos, and 2 more authors
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
  2. inside_2019.png
    Project INSIDE: towards autonomous semi-unstructured human–robot social interaction in autism therapy
    Francisco S. Melo, Alberto Sardinha, David Belo, and 20 more authors
    Artificial intelligence in medicine, 2019
  3. Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions
    Miguel Vasco, Francisco S. Melo, David Matos, and 2 more authors
    In Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019

2017

  1. micro_2017.png
    3D map distribution of metallic nanoparticles in whole cells using MeV ion microscopy
    Miguel Vasco, Luís Cerqueira Alves, Victoria Corregidor, and 6 more authors
    Journal of Microscopy, 2017