Journal Papers
Silvia Tulli, Francisco S. Melo, Ana Paiva, Mohamed Chetouani (2022). Learning from Explanations with Maximum Likelihood Inverse Reinforcement Learning. Submitted to Neural Computing and Applications, Topical Collection on Human-aligned Reinforcement Learning for Autonomous Agents and Robots [under review][pre-print]
Silvia Tulli*, Sebastian Wallkötter*, Ginevra Castellano, Ana Paiva, Mohamed Chetouani (2021). Explainable Embodied Agents Through Social Cues: A Review. ACM Transactions on Human-Robot Interaction, THRI Special issue in on Explainable Robotic Systems [pdf]
*equal contribution
Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Maria Trocan, Raja Chatila, Benedikt Wagner, Anna Saranti, Andreas Holzinger, Silvia Tulli, Artur d’Avila Garcez, Natalia Díaz-Rodríguez (2021). A Practical Tutorial on Explainable AI Techniques [pdf]
Conference Papers
Silvia Tulli, Marta Couto, Miguel Vasco, Elmira Yadollahi, Francisco S. Melo, Ana Paiva (2020). Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios, 12th International Conference on Social Robotics. Springer post-proceedings Lecture Notes in Artificial Intelligence [SpringerLink] Best Student Paper Award [pdf]
Silvia Tulli, Diego Agustin Ambrossio, Amro Najjar, and Francisco Javier Rodríguez Lera (2019). Great Expectations & Aborted Business Initiatives: The Paradox of Social Robot Between Research and Industry, Proceedings of the Reference AI & ML Conference for Belgium, Netherlands & Luxemburg [pdf]
Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Silvia Tulli, Fernando P Santos, Francisco C Santos, Rui Prada, Francisco S Melo, Ana Paiva (2019). For The Record-A Public Goods Game For Exploring Human-Robot Collaboration, Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems [pdf]
Doctoral Consortium
Silvia Tulli (2020). Explainability in Autonomous Pedagogical Agents (2020). Proceedings of the AAAI Conference on Artificial Intelligence [pdf]
Abstract
Silvia Tulli (2022). Explanation-Guided Learning for Human-AI collaboration (2022). 17th Women in Machine Learning Workshop
Workshop Papers
Silvia Tulli, Sebastian Wallkötter, Ana Paiva, Francisco S. Melo, Mohamed Chetouani (2020). Learning from Explanations and Demonstrations: A Pilot Study, NL4XAI2020 : 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, part of the 13th International Conference on Natural Language Generation (INLG2020) [pdf]
Silvia Tulli, Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Francisco S. Melo, Ana Paiva (2019). Effects of Agents’ Transparency on Teamwork. 1st International Workshop on EXplainable TRansparent Autonomous Agents and Multi-Agent Systems at International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. Springer post-proceedings Lecture Notes in Artificial Intelligence [SpringerLink] [pdf]
Patrícia Alves-Oliveira, Silvia Tulli, Philipp Wilken, Ramona Merhej, João Gandum, and Ana Paiva (2019). Sparking Creativity with Robots: A Design Perspective. Robots for Social Good: Exploring Critical Design for HRI Workshop at 14th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 [pdf]
Reports
Reports of the Workshops Held at the 2021 AAAI Conference on Artificial Intelligence [pdf]