Miguel Vasco

Orcid: 0000-0002-5761-4105

According to our database¹, Miguel Vasco authored at least 20 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

CoRR, 2024

NeuralThink: Algorithm Synthesis that Extrapolates in General Tasks.

[BibT_eX]

[DOI]

Bernardo Esteves

Miguel Vasco

Francisco S. Melo

CoRR, 2024

Goal-Conditioned Offline Reinforcement Learning via Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Augmented Cognition, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neural Networks, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

GMC - Geometric Multimodal Contrastive Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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

Geometric Multimodal Contrastive Representation Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Proceedings of the Progress in Artificial Intelligence, 2021

2020

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

[BibT_eX]

[DOI]

Miguel Vasco

Francisco S. Melo

Ana Paiva

CoRR, 2020

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

[BibT_eX]

[DOI]

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

Multimodal Representation Learning for Robotic Cross-Modality Policy Transfer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Miguel Vasco

Timeline

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