Miguel Vasco

According to our database, Miguel Vasco authored at least 22 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks.

Alfredo Reichlin, Gustaf Tegnér, Miguel Vasco, Hang Yin, Mårten Björkman, Danica Kragic

CoRR, 2024

NeuralThink: Algorithm Synthesis that Extrapolates in General Tasks.

Bernardo Esteves, Miguel Vasco, Francisco S. Melo

CoRR, 2024

Goal-Conditioned Offline Reinforcement Learning via Metric Learning.

Alfredo Reichlin, Miguel Vasco, Hang Yin, Danica Kragic

CoRR, 2024

A Super-human Vision-based Reinforcement Learning Agent for Autonomous Racing in Gran Turismo.

Miguel Vasco, Takuma Seno, Kenta Kawamoto, Kaushik Subramanian, Peter R. Wurman, Peter Stone

Proceedings of the 1st Reinforcement Learning Conference, 2024

Will You Participate? Exploring the Potential of Robotics Competitions on Human-Centric Topics.

Yuchong Zhang, Miguel Vasco, Mårten Björkman, Danica Kragic

Proceedings of the Human-Computer Interaction, 2024

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning.

Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Detecting the Intention of Object Handover in Human-Robot Collaborations: An EEG Study.

Nona Rajabi, Parag Khanna, Sümeyra Demir Kanik, Elmira Yadollahi, Miguel Vasco, Mårten Björkman, Christian Smith, Danica Kragic

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

Mental Face Image Retrieval Based on a Closed-Loop Brain-Computer Interface.

Nona Rajabi, Charles Chernik, Alfredo Reichlin, Farzaneh Taleb, Miguel Vasco, Ali Ghadirzadeh, Mårten Björkman, Danica Kragic

Proceedings of the Augmented Cognition, 2023

Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning.

Bernardo Esteves, Miguel Vasco, Francisco S. Melo

Proceedings of the Progress in Artificial Intelligence, 2023

2022

Leveraging hierarchy in multimodal generative models for effective cross-modality inference.

Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva

Neural Networks, 2022

GMC - Geometric Multimodal Contrastive Representation Learning.

Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic

CoRR, 2022

Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories.

Fábio Vital, Miguel Vasco, Alberto Sardinha, Francisco S. Melo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Geometric Multimodal Contrastive Representation Learning.

Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic

Proceedings of the International Conference on Machine Learning, 2022

<i>How to Sense the World: </i> Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.

Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents.

Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva

CoRR, 2021

Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning.

Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso

Proceedings of the Progress in Artificial Intelligence, 2021

2020

MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning.

Miguel Vasco, Francisco S. Melo, Ana Paiva

CoRR, 2020

Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios.

Silvia Tulli, Marta Couto, Miguel Vasco, Elmira Yadollahi, Francisco S. Melo, Ana Paiva

Proceedings of the Social Robotics - 12th International Conference, 2020

Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer.

Miguel Vasco

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning.

Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Learning Multimodal Representations for Sample-efficient Recognition of Human Actions.

Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions.

Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019