Miguel Vasco

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Motion Trajectories

Reinforcement Learning

Top Venues

Publications

Alfredo Reichlin, Miguel Vasco, Hang Yin, Danica Kragic
Goal-Conditioned Offline Reinforcement Learning via Metric Learning. CoRR (2024)
Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone
A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo. CoRR (2024)
Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
Will You Participate? Exploring the Potential of Robotics Competitions on Human-centric Topics. CoRR (2024)
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning. AAMAS (2024)
Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic
Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics. HCI (2) (2024)
Bernardo Esteves, Miguel Vasco, Francisco S. Melo
NeuralThink: Algorithm Synthesis that Extrapolates in General Tasks. CoRR (2024)
Bernardo Esteves, Miguel Vasco, Francisco S. Melo
Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning. EPIA (1) (2023)
Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic
Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface. HCI (9) (2023)
Nona Rajabi, Parag Khanna, Sümeyra Demir Kanik, Elmira Yadollahi, Miguel Vasco, Mårten Björkman, Christian Smith, Danica Kragic
Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study. RO-MAN (2023)
Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
Leveraging hierarchy in multimodal generative models for effective cross-modality inference. Neural Networks 146 (2022)
Fábio Vital, Miguel Vasco, Alberto Sardinha, Francisco S. Melo
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories. CoRR (2022)
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning. CoRR (2022)
Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. AAMAS (2022)
Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
Geometric Multimodal Contrastive Representation Learning. ICML (2022)
Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic
GMC - Geometric Multimodal Contrastive Representation Learning. CoRR (2022)
Fábio Vital, Miguel Vasco, Alberto Sardinha, Francisco S. Melo
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories. IROS (2022)
Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. CoRR (2021)
Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. EPIA (2021)
Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS (2020)
Silvia Tulli, Marta Couto, Miguel Vasco, Elmira Yadollahi, Francisco S. Melo, Ana Paiva
Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios. ICSR (2020)
Miguel Vasco, Francisco S. Melo, Ana Paiva
MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning. CoRR (2020)
Miguel Vasco
Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer. AAMAS (2020)
Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura
Learning multimodal representations for sample-efficient recognition of human actions. CoRR (2019)
Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. CoRR (2019)
Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura
Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions. AAMAS (2019)
Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura
Learning Multimodal Representations for Sample-efficient Recognition of Human Actions. IROS (2019)