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Miguel Serras VascoINESC-ID | 
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- Leveraging hierarchy in multimodal generative models for effective cross-modality inference
Miguel Serras Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
Neural Networks vol. 146, DOI 10.1016/j.neunet.2021.11.019
2022 - Project INSIDE: towards autonomous semi-unstructured human–robot social interaction in autism therapy
Francisco S. Melo, Alberto Sardinha, David Belo, Marta Couto, Miguel Afonso Tomás Faria, Anabela Farias, Hugo Gambôa, Cátia Jesus, Mithun Kinarullathil, Pedro Lima, Luís Luz, André Mateus, Isabel Melo, Plinio Moreno, Daniel Osório, Ana Paiva, Jhielson Pimentel, João Rodrigues, Pedro Sequeira, Rubén Solera Ureña, Miguel Serras Vasco, Manuela Veloso, Rodrigo Ventura
Artificial Intelligence in Medicine vol. 96,
2019
- NeuralSolver: Learning algorithms for consistent and efficient extrapolation across general tasks
Bernardo Esteves, Miguel Serras Vasco, Francisco S. Melo
Advances in Neural Information Processing Systems 37,
2024 - Centralized training with hybrid execution in multi-agent reinforcement learning
Pedro Pinto Santos, Diogo Carvalho, Miguel Serras Vasco, Alberto Sardinha, Pedro Santos, Ana Paiva, Francisco S. Melo
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems,
2024 - Pre-training with augmentations for efficient trans- fer in model-based reinforcement learning
Bernardo Esteves, Miguel Serras Vasco, Francisco S. Melo
Proceedings of the 22nd EPIA Conference on Artificial Intelligence,
2023 - How to sense the world: Leveraging hierarchy in multimodal perception for robust reinforcement learning agents
Miguel Serras Vasco, Hang Yin, Francisco S. Melo, Ana Paiva
21st International Conference on Autonomous Agents and Multiagent Systems,
2022 - Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories
Fábio Vital, Miguel Serras Vasco, Alberto Sardinha, Francisco S. Melo
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022), Kyoto, Japan - Geometric multimodal contrastive representation learning
P. Poklukar, Miguel Serras Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, D. Kragic
Proceedings of the 39th International Conference on Machine Learning,
2022 - Exploiting symmetry in human robot-assisted dressing using reinforcement learning
Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Serras Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
20th EPIA Conference on Artificial Intelligence,
2021 - Playing games in the dark: An approach for cross-modality transfer in reinforcement learning
Rui Silva, Miguel Serras Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso
19th International Conference on Autonomous Agents and Multiagent Systems,
2020 - Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios
Silvia Tulli, Marta Couto, Miguel Serras Vasco, Elmira Yadollahi, Francisco S. Melo, Ana Paiva
International Conference on Social Robotics, Springer, Springer,
2020 - Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions
Miguel Serras Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS 2019, International Foundation for Autonomous Agents and Multiagen, International Foundation for Autonomous Agents and Multiagen, Montréal, Canada
2019