Transition Entropy in Partially Observable Markov Decision Processes. - Francisco S. Melo; M. Isabel Ribeiro (IAS, 2006)

Q -Learning with Linear Function Approximation. - Francisco S. Melo; M. Isabel Ribeiro (COLT, 2007)

Convergence of Independent Adaptive Learners. - Francisco S. Melo; Manuel C. Lopes (EPIA Workshops, 2007)

Affordance-based imitation learning in robots. - Manuel Lopes 001; Francisco S. Melo; Luis Montesano (IROS, 2007)

Emerging coordination in infinite team Markov games. - Francisco S. Melo; M. Isabel Ribeiro (AAMAS (1), 2008)

Interaction-driven Markov games for decentralized multiagent planning under uncertainty. - Matthijs T. J. Spaan; Francisco S. Melo (AAMAS (1), 2008)

Exploiting locality of interactions using a policy-gradient approach in multiagent learning. - Francisco S. Melo (ECAI, 2008)

An analysis of reinforcement learning with function approximation. - Francisco S. Melo; Sean P. Meyn; M. Isabel Ribeiro (ICML, 2008)

Reinforcement learning with function approximation for cooperative navigation tasks. - Francisco S. Melo; M. Isabel Ribeiro (ICRA, 2008)

Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs. - Francisco S. Melo; Manuel Lopes 001 (ECML/PKDD (2), 2008)

Learning of coordination: exploiting sparse interactions in multiagent systems. - Francisco S. Melo; Manuela M. Veloso (AAMAS (2), 2009)

Active Learning for Reward Estimation in Inverse Reinforcement Learning. - Manuel Lopes 001; Francisco S. Melo; Luis Montesano (ECML/PKDD (2), 2009)

A Computational Model of Social-Learning Mechanisms. - Manuel Lopes 001; Francisco S. Melo; Ben Kenward; José Santos-Victor (Adapt. Behav., 2009)

Approximate planning for decentralized MDPs with sparse interactions. - Francisco S. Melo; Manuela M. Veloso (AAMAS, 2010)

Heuristic Planning for Decentralized MDPs with Sparse Interactions. - Francisco S. Melo; Manuela M. Veloso (DARS, 2010)

Analysis of Inverse Reinforcement Learning with Perturbed Demonstrations. - Francisco S. Melo; Manuel Lopes 001; Ricardo Ferreira 002 (ECAI, 2010)

Learning from Demonstration Using MDP Induced Metrics. - Francisco S. Melo; Manuel Lopes 001 (ECML/PKDD (2), 2010)

Coordinated learning in multiagent MDPs with infinite state-space. - Francisco S. Melo; M. Isabel Ribeiro (Auton. Agents Multi Agent Syst., 2010)

Abstraction Levels for Robotic Imitation: Overview and Computational Approaches. - Manuel Lopes 001; Francisco S. Melo; Luis Montesano; José Santos-Victor (From Motor Learning to Interaction Learning in Robots, 2010)

Differential Eligibility Vectors for Advantage Updating and Gradient Methods. - Francisco S. Melo (AAAI, 2011)

Emotion-Based Intrinsic Motivation for Reinforcement Learning Agents. - Pedro Sequeira; Francisco S. Melo; Ana Paiva 001 (ACII (1), 2011)

QueryPOMDP: POMDP-Based Communication in Multiagent Systems. - Francisco S. Melo; Matthijs T. J. Spaan; Stefan J. Witwicki (EUMAS, 2011)

Emerging social awareness: Exploring intrinsic motivation in multiagent learning. - Pedro Sequeira; Francisco S. Melo; Rui Prada; Ana Paiva 001 (ICDL-EPIROB, 2011)

Decentralized MDPs with sparse interactions. - Francisco S. Melo; Manuela M. Veloso (Artif. Intell., 2011)

A Flexible Approach to Modeling Unpredictable Events in MDPs. - Stefan J. Witwicki; Francisco S. Melo; Jesús Capitán; Matthijs T. J. Spaan (ICAPS, 2013)

Towards agents with human-like decisions under uncertainty. - Nuno Marques; Francisco S. Melo; Samuel Mascarenhas; João Dias 001; Rui Prada; Ana Paiva 001 (CogSci, 2013)

An Associative State-Space Metric for Learning in Factored MDPs. - Pedro Sequeira; Francisco S. Melo; Ana Paiva 001 (EPIA, 2013)

Multi-class Generalized Binary Search for Active Inverse Reinforcement Learning - Francisco S. Melo; Manuel Lopes 001 (CoRR, 2013)

A testbed for autonomous robot surveillance. - Stefan J. Witwicki; José Carlos Castillo 001; Jesús Capitán; João V. Messias; João C. G. Reis; Pedro U. Lima; Francisco S. Melo; Matthijs T. J. Spaan (AAMAS, 2014)

The influence of social display in competitive multiagent learning. - Pedro Sequeira; Francisco S. Melo; Ana Paiva 001 (ICDL-EPIROB, 2014)

Learning by appraising: an emotion-based approach to intrinsic reward design. - Pedro Sequeira; Francisco S. Melo; Ana Paiva 001 (Adapt. Behav., 2014)

"It's Amazing, We Are All Feeling It!" - Emotional Climate as a Group-Level Emotional Expression in HRI. - Patrícia Alves-Oliveira; Pedro Sequeira; Eugenio Di Tullio; Sofia Petisca; Carla Guerra; Francisco S. Melo; Ana Paiva 001 (AAAI Fall Symposia, 2015)

Modeling Students Self-Studies Behaviors. - Pedro Mota; Francisco S. Melo; Luísa Coheur (AAMAS, 2015)

The "Favors Game": A Framework to Study the Emergence of Cooperation through Social Importance. - Pedro Sequeira; Samuel Mascarenhas; Francisco S. Melo; Ana Paiva 001 (AAMAS, 2015)

The geometry friends game AI competition. - Rui Prada; Phil Lopes; Joao Catarino; Joao Quiterio; Francisco S. Melo (CIG, 2015)

A reinforcement learning approach for the circle agent of geometry friends. - Joao Quiterio; Rui Prada; Francisco S. Melo (CIG, 2015)

"Let's save resources!": A dynamic, collaborative AI for a multiplayer environmental awareness game. - Pedro Sequeira; Francisco S. Melo; Ana Paiva 001 (CIG, 2015)

The development of cooperation in evolving populations through social importance. - Pedro Sequeira; Samuel Mascarenhas; Francisco S. Melo; Ana Paiva 001 (ICDL-EPIROB, 2015)

Towards table tennis with a quadrotor autonomous learning robot and onboard vision. - Rui Silva; Francisco S. Melo; Manuela M. Veloso (IROS, 2015)

An Empathic Robotic Tutor for School Classrooms: Considering Expectation and Satisfaction of Children as End-Users. - Patrícia Alves-Oliveira; Tiago Ribeiro 001; Sofia Petisca; Eugenio Di Tullio; Francisco S. Melo; Ana Paiva 001 (ICSR, 2015)

Personalized Assistance for Dressing Users. - Steven D. Klee; Beatriz Quintino Ferreira; Rui Silva; João Paulo Costeira; Francisco S. Melo; Manuela M. Veloso (ICSR, 2015)

Emergence of emotional appraisal signals in reinforcement learning agents. - Pedro Sequeira; Francisco S. Melo; Ana Paiva 001 (Auton. Agents Multi Agent Syst., 2015)

Me and You Together: A Study on Collaboration in Manipulation Tasks. - Miguel Faria 001; Rui Silva; Francisco S. Melo; Ana Paiva 001 (AAAI Fall Symposia, 2016)

Learning to be Fair in Multiplayer Ultimatum Games: (Extended Abstract). - Fernando P. Santos; Francisco C. Santos; Francisco S. Melo; Ana Paiva 001; Jorge M. Pacheco (AAMAS, 2016)

Dynamics of Fairness in Groups of Autonomous Learning Agents. - Fernando P. Santos; Francisco C. Santos; Francisco S. Melo; Ana Paiva 001; Jorge M. Pacheco (AAMAS Workshops (Selected Papers), 2016)

Rapidly-Exploring Random Tree approach for Geometry Friends. - Rui Soares; Francisco Leal; Rui Prada; Francisco S. Melo (DiGRA/FDG, 2016)

Adaptive Symbiotic Collaboration for Targeted Complex Manipulation Tasks. - Rui Silva; Francisco S. Melo; Manuela M. Veloso (ECAI, 2016)

Building a Social Robot as a Game Companion in a Card Game. - Filipa Correia; Tiago Ribeiro 001; Patrícia Alves-Oliveira; Francisco S. Melo; Ana Paiva 001 (HRI, 2016)

Discovering Social Interaction Strategies for Robots from Restricted-Perception Wizard-of-Oz Studies. - Pedro Sequeira; Patrícia Alves-Oliveira; Tiago Ribeiro 001; Eugenio Di Tullio; Sofia Petisca; Francisco S. Melo; Ginevra Castellano; Ana Paiva 001 (HRI, 2016)

Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations. - Hang Yin 001; Patrícia Alves-Oliveira; Francisco S. Melo; Aude Billard; Ana Paiva 001 (IJCAI, 2016)

An Interactive Tangram Game for Children with Autism. - Beatriz Bernardo; Patrícia Alves-Oliveira; Maria Graça Santos; Francisco S. Melo; Ana Paiva 001 (IVA, 2016)

Just follow the suit! Trust in human-robot interactions during card game playing. - Filipa Correia; Patrícia Alves-Oliveira; Nuno Maia; Tiago Ribeiro 001; Sofia Petisca; Francisco S. Melo; Ana Paiva 001 (RO-MAN, 2016)

Ad hoc teamwork by learning teammates' task. - Francisco S. Melo; Alberto Sardinha (Auton. Agents Multi Agent Syst., 2016)

Associate Latent Encodings in Learning from Demonstrations. - Hang Yin 001; Francisco S. Melo; Aude Billard; Ana Paiva 001 (AAAI, 2017)

A Social Robot as a Card Game Player. - Filipa Correia; Patrícia Alves-Oliveira; Tiago Ribeiro 001; Francisco S. Melo; Ana Paiva 001 (AIIDE, 2017)

A Conversational Agent Powered by Online Learning. - Vânia Mendonça; Francisco S. Melo; Luísa Coheur; Alberto Sardinha (AAMAS, 2017)

Monte Carlo tree search experiments in hearthstone. - Andre Santos; Pedro Alexandre Santos; Francisco S. Melo (CIG, 2017)

Simulating Behaviors of Children with Autism Spectrum Disorders Through Reversal of the Autism Diagnosis Process. - Kim Baraka; Francisco S. Melo; Manuela M. Veloso (EPIA, 2017)

Online Learning for Conversational Agents. - Vânia Mendonça; Francisco S. Melo; Luísa Coheur; Alberto Sardinha (EPIA, 2017)

Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disorders. - Kim Baraka; Francisco S. Melo; Manuela M. Veloso (ICDL-EPIROB, 2017)

Learning and Teaching Biodiversity Through a Storyteller Robot. - Maria José Ferreira; Valentina Nisi; Francisco S. Melo; Ana Paiva 001 (ICIDS, 2017)

"Me and you together" movement impact in multi-user collaboration tasks. - Miguel Faria 001; Rui Silva; Patrícia Alves-Oliveira; Francisco S. Melo; Ana Paiva 001 (IROS, 2017)

Adaptive indirect control through communication in collaborative human-robot interaction. - Rui Silva; Miguel Faria 001; Francisco S. Melo; Manuela M. Veloso (IROS, 2017)

Groups of humans and robots: Understanding membership preferences and team formation. - Filipa Correia; Sofia Petisca; Patrícia Alves-Oliveira; Tiago Ribeiro 001; Francisco S. Melo; Ana Paiva 001 (Robotics: Science and Systems, 2017)

'Autistic Robots' for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities. - Kim Baraka; Francisco S. Melo; Manuela M. Veloso (ICSR, 2017)

Autonomous Surveillance Robots: A Decision-Making Framework for Networked Muiltiagent Systems. - Stefan J. Witwicki; José Carlos Castillo 001; João V. Messias; Jesús Capitán; Francisco S. Melo; Pedro U. Lima; Manuela M. Veloso (IEEE Robotics Autom. Mag., 2017)

Exploring the Impact of Fault Justification in Human-Robot Trust. - Filipa Correia; Carla Guerra; Samuel Mascarenhas; Francisco S. Melo; Ana Paiva 001 (AAMAS, 2018)

What if the World Were Different? Gradient-Based Exploration for New Optimal Policies. - Rui Silva; Francisco S. Melo; Manuela Veloso (GCAI, 2018)

Group-based Emotions in Teams of Humans and Robots. - Filipa Correia; Samuel Mascarenhas; Rui Prada; Francisco S. Melo; Ana Paiva 001 (HRI, 2018)

Towards Guidelines for Mental State Induction in First-Person Shooters. - Tomás Alves; Sandra Gama; Francisco S. Melo (ICGI, 2018)

Interactive Optimal Teaching with Unknown Learners. - Francisco S. Melo; Carla Guerra; Manuel Lopes 001 (IJCAI, 2018)

Flow adaptation in serious games for health. - Tomás Alves; Sandra Gama; Francisco S. Melo (SeGAH, 2018)

Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. - Pablo Gómez Esteban; Daniel Hernández García; Hee Rin Lee; Pauline Chevalier; Paul Baxter 001; Cindy L. Bethel; Jainendra Shukla; Joan Oliver; Domenec Puig; Jason R. Wilson; Linda Tickle-Degnen; Madeleine Bartlett; et al. (CoRR, 2018)

A tutorial on machine learning for interactive pedagogical systems. - Francisco S. Melo; Samuel Mascarenhas; Ana Paiva 001 (Int. J. Serious Games, 2018)

A Theoretical and Algorithmic Analysis of Configurable MDPs. - Rui Silva; Gabriele Farina; Francisco S. Melo; Manuela Veloso (ICAPS, 2019)

An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. - Kim Baraka; Marta Couto; Francisco S. Melo; Manuela Veloso (AAMAS, 2019)

For The Record - A Public Goods Game For Exploring Human-Robot Collaboration. - Filipa Correia; Samuel Mascarenhas; Samuel Gomes; Silvia Tulli; Fernando P. Santos; Francisco C. Santos; Rui Prada; Francisco S. Melo; Ana Paiva 001 (AAMAS, 2019)

Effects of Agents' Transparency on Teamwork. - Silvia Tulli; Filipa Correia; Samuel Mascarenhas; Samuel Gomes; Francisco S. Melo; Ana Paiva 001 (EXTRAAMAS@AAMAS, 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 001; Tetsunari Inamura (AAMAS, 2019)

Solving Motion and Action Planning for a Cooperative Agent Problem Using Geometry Friends. - Ana Salta; Rui Prada; Francisco S. Melo (EPIA (1), 2019)

Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning. - João G. Ribeiro; Francisco S. Melo; João Dias 001 (GCAI, 2019)

Exploring Prosociality in Human-Robot Teams. - Filipa Correia; Samuel Francisco Mascarenhas; Samuel Gomes; Patrícia Arriaga; Iolanda Leite; Rui Prada; Francisco S. Melo; Ana Paiva 001 (HRI, 2019)

Group Intelligence on Social Robots. - Filipa Correia; Francisco S. Melo; Ana Paiva 001 (HRI, 2019)

Learning Multimodal Representations for Sample-efficient Recognition of Human Actions. - Miguel Vasco; Francisco S. Melo; David Martins de Matos; Ana Paiva 001; Tetsunari Inamura (IROS, 2019)

Walk the Talk! Exploring (Mis)Alignment of Words and Deeds by Robotic Teammates in a Public Goods Game. - Filipa Correia; Ana Paiva 001; Shruti Chandra; Samuel Mascarenhas; Julien Charles-Nicolas; Justin Gally; Diana Lopes; Fernando P. Santos; Francisco C. Santos; Francisco S. Melo (RO-MAN, 2019)

"I Choose... YOU!" Membership preferences in human-robot teams. - Filipa Correia; Sofia Petisca; Patrícia Alves-Oliveira; Tiago Ribeiro 001; Francisco S. Melo; Ana Paiva 001 (Auton. Robots, 2019)

An ensemble inverse optimal control approach for robotic task learning and adaptation. - Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Aude Billard (Auton. Robots, 2019)

Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy. - Francisco S. Melo; Alberto Sardinha; David Belo; Marta Couto; Miguel Faria 001; Anabela Farias; Hugo Gamboa; Cátia Jesus; Mithun Kinarullathil; Pedro U. Lima; Luís Luz; André Mateus 001; et al. (Artif. Intell. Medicine, 2019)

Class Teaching for Inverse Reinforcement Learners. - Manuel Lopes 001; Francisco S. Melo (CoRR, 2019)

Interactive robots with model-based 'autism-like' behaviors. - Kim Baraka; Francisco S. Melo; Manuela Veloso (Paladyn J. Behav. Robotics, 2019)

Empathic Robot for Group Learning: A Field Study. - Patrícia Alves-Oliveira; Pedro Sequeira; Francisco S. Melo; Ginevra Castellano; Ana Paiva 001 (ACM Trans. Hum. Robot Interact., 2019)

Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. - Rui Silva; Miguel Vasco; Francisco S. Melo; Ana Paiva 001; Manuela Veloso (AAMAS, 2020)

An End-to-end Approach for Learning and Generating Complex Robot Motions from Demonstration. - Ali H. Kordia; Francisco S. Melo (ICARCV, 2020)

A new convergent variant of Q-learning with linear function approximation. - Diogo S. Carvalho; Francisco S. Melo; Pedro Santos 001 (NeurIPS, 2020)

Learning from Explanations and Demonstrations: A Pilot Study. - Silvia Tulli; Sebastian Wallkötter; Ana Paiva 001; Francisco S. Melo; Mohamed Chetouani (NL4XAI@INGL, 2020)

The Dark Side of Embodiment - Teaming Up With Robots VS Disembodied Agents. - Filipa Correia; Samuel Gomes; Samuel Mascarenhas; Francisco S. Melo; Ana Paiva 001 (Robotics: Science and Systems, 2020)

Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios. - Silvia Tulli; Marta Couto; Miguel Vasco; Elmira Yadollahi; Francisco S. Melo; Ana Paiva 001 (ICSR, 2020)

Optimal action sequence generation for assistive agents in fixed horizon tasks. - Kim Baraka; Francisco S. Melo; Marta Couto; Manuela Veloso (Auton. Agents Multi Agent Syst., 2020)

MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning. - Miguel Vasco; Francisco S. Melo; Ana Paiva 001 (CoRR, 2020)

Interactive Teaching with Groups of Unknown Bayesian Learners. - Carla Guerra; Francisco S. Melo; Manuel Lopes 001 (AIED (2), 2021)

Teaching Unknown Learners to Classify via Feature Importance. - Carla Guerra; Francisco S. Melo; Manuel Lopes 001 (AAMAS, 2021)

Cooperation between Independent Reinforcement Learners under Wealth Inequality and Collective Risks. - Ramona Merhej; Fernando P. Santos; Francisco S. Melo; Francisco C. Santos (AAMAS, 2021)

Revisiting "Recurrent World Models Facilitate Policy Evolution". - Bernardo Esteves; Francisco S. Melo (EPIA, 2021)

Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. - Pedro Ildefonso; Pedro Remédios; Rui Silva; Miguel Vasco; Francisco S. Melo; Ana Paiva 001; Manuela Veloso (EPIA, 2021)

Compound Movement Recognition Using Dynamic Movement Primitives. - Ali H. Kordia; Francisco S. Melo (EPIA, 2021)

Helping People on the Fly: Ad Hoc Teamwork for Human-Robot Teams. - João G. Ribeiro; Miguel Faria 001; Alberto Sardinha; Francisco S. Melo (EPIA, 2021)

Ad Hoc Teamwork in the Presence of Non-stationary Teammates. - Pedro M. Santos 002; João G. Ribeiro; Alberto Sardinha; Francisco S. Melo (EPIA, 2021)

Movement recognition and prediction using DMPs. - Ali H. Kordia; Francisco S. Melo (ICRA, 2021)

Understanding Robots: Making Robots More Legible in Multi-Party Interactions. - Miguel Faria 001; Francisco S. Melo; Ana Paiva 001 (RO-MAN, 2021)

A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers. - Guilherme S. Varela; Pedro P. Santos; Alberto Sardinha; Francisco S. Melo (CoRR, 2021)

Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces. - Ricardo Quinteiro; Francisco S. Melo; Pedro A. Santos 001 (CoRR, 2021)

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. - Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001 (CoRR, 2021)

Understanding the Impact of Data Distribution on Q-learning with Function Approximation. - Pedro P. Santos; Francisco S. Melo; Alberto Sardinha; Diogo S. Carvalho (CoRR, 2021)

Teaching Multiple Inverse Reinforcement Learners. - Francisco S. Melo; Manuel Lopes 001 (Frontiers Artif. Intell., 2021)

A Game AI Competition to Foster Collaborative AI Research and Development. - Ana Salta; Rui Prada; Francisco S. Melo (IEEE Trans. Games, 2021)

Cooperation and Learning Dynamics under Risk Diversity and Financial Incentives. - Ramona Merhej; Fernando P. Santos; Francisco S. Melo; Mohamed Chetouani; Francisco C. Santos (AAMAS, 2022)

How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. - Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001 (AAMAS, 2022)

FIT: Using Feature Importance to Teach Classification Tasks to Unknown Learners. - Carla Guerra; Francisco S. Melo; Manuel Lopes 001 (EPIA, 2022)

Socially Reactive Navigation Models for Mobile Robots. - Francisco S. Melo; Plinio Moreno (ICARSC, 2022)

Geometric Multimodal Contrastive Representation Learning. - Petra Poklukar; Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Danica Kragic (ICML, 2022)

Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories. - Fábio Vital; Miguel Vasco; Alberto Sardinha; Francisco S. Melo (IROS, 2022)

Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under Partial Observability. - João G. Ribeiro; Cassandro Martinho; Alberto Sardinha; Francisco S. Melo (CoRR, 2022)

Learning Collective Action under Risk Diversity. - Ramona Merhej; Fernando P. Santos; Francisco S. Melo; Mohamed Chetouani; Francisco C. Santos (CoRR, 2022)

GMC - Geometric Multimodal Contrastive Representation Learning. - Petra Poklukar; Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001; Danica Kragic (CoRR, 2022)

"Sequencing Matters": Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy. - Kim Baraka; Marta Couto; Francisco S. Melo; Ana Paiva 001; Manuela Veloso (Frontiers Robotics AI, 2022)

Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk. - Ramona Merhej; Fernando P. Santos; Francisco S. Melo; Francisco C. Santos (J. Artif. Intell. Res., 2022)

Leveraging hierarchy in multimodal generative models for effective cross-modality inference. - Miguel Vasco; Hang Yin 001; Francisco S. Melo; Ana Paiva 001 (Neural Networks, 2022)

Learning to Perceive in Deep Model-Free Reinforcement Learning. - Gonçalo Querido; Alberto Sardinha; Francisco S. Melo (AAMAS, 2023)

Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning. - Diogo S. Carvalho; Francisco S. Melo; Pedro A. Santos 001 (ECAI, 2023)

Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. - João G. Ribeiro; Cassandro Martinho; Alberto Sardinha; Francisco S. Melo (ECAI, 2023)

Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning. - Bernardo Esteves; Miguel Vasco; Francisco S. Melo (EPIA (1), 2023)

Multi-Bellman operator for convergence of Q-learning with linear function approximation. - Diogo S. Carvalho; Pedro A. Santos 001; Francisco S. Melo (CoRR, 2023)

Robotic Gaze Responsiveness in Multiparty Teamwork. - Filipa Correia; Joana Campos 001; Francisco S. Melo; Ana Paiva 001 (Int. J. Soc. Robotics, 2023)

TEAMSTER: Model-based reinforcement learning for ad hoc teamwork. - João G. Ribeiro; Gonçalo Rodrigues; Alberto Sardinha; Francisco S. Melo (Artif. Intell., 2023)

TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint). - João G. Ribeiro; Gonçalo Rodrigues; Alberto Sardinha; Francisco S. Melo (AAAI, 2024)

Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning. - Pedro P. Santos; Diogo S. Carvalho; Miguel Vasco; Alberto Sardinha; Pedro A. Santos 001; Ana Paiva 001; Francisco S. Melo (AAMAS, 2024)

A Comparative Study of Continual Backpropagation. - Jacopo Silvestrin; Francisco S. Melo; Manuel Lopes 001 (EPIA (2), 2024)

Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback. - Rustam Zayanov; Francisco S. Melo; Manuel Lopes 001 (ICAART (1), 2024)

NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks. - Bernardo Esteves; Miguel Vasco; Francisco S. Melo (NeurIPS, 2024)

"Guess what I'm doing": Extending legibility to sequential decision tasks. - Miguel Faria 001; Francisco S. Melo; Ana Paiva 001 (Artif. Intell., 2024)

NeuralThink: Algorithm Synthesis that Extrapolates in General Tasks. - Bernardo Esteves; Miguel Vasco; Francisco S. Melo (CoRR, 2024)

The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes. - Pedro P. Santos; Alberto Sardinha; Francisco S. Melo (CoRR, 2024)

When a Robot Is Your Teammate. - Filipa Correia; Francisco S. Melo; Ana Paiva 001 (Top. Cogn. Sci., 2024)

The impact of data distribution on Q-learning with function approximation. - Pedro P. Santos; Diogo S. Carvalho; Alberto Sardinha; Francisco S. Melo (Mach. Learn., 2024)

Networked Agents in the Dark: Team Value Learning under Partial Observability. - Guilherme S. Varela; Alberto Sardinha; Francisco S. Melo (AAMAS, 2025)

Distributed Value Decomposition Networks with Networked Agents. - Guilherme S. Varela; Alberto Sardinha; Francisco S. Melo (AAMAS, 2025)

Implicit Repair with Reinforcement Learning in Emergent Communication. - Fábio Vital; Alberto Sardinha; Francisco S. Melo (AAMAS, 2025)

Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations. - Diogo S. Carvalho; Pedro A. Santos 001; Francisco S. Melo (Artif. Intell., 2025)

Psychological, economic, and ethical factors in human feedback for a chatbot-based smoking cessation intervention. - Nele Albers; Francisco S. Melo; Mark A. Neerincx; Olya Kudina; Willem-Paul Brinkman (npj Digit. Medicine, 2025)

Multi-Bellman operator for convergence of Q-learning with linear function approximation. - Diogo S. Carvalho; Pedro A. Santos 001; Francisco S. Melo (Trans. Mach. Learn. Res., 2025)

Solving General-Utility Markov Decision Processes in the Single-Trial Regime with Online Planning. - Pedro P. Santos; Alberto Sardinha; Francisco S. Melo (CoRR, 2025)

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains. - João G. Ribeiro; Yaniv Oren; Alberto Sardinha; Matthijs T. J. Spaan; Francisco S. Melo (CoRR, 2025)

"Teammates, Am I Clear?": Analysing Legible Behaviours in Teams. - Miguel Faria 001; Francisco S. Melo; Ana Paiva 001 (CoRR, 2025)