What can i do with this?: finding possible interactions between characters and objects. - Pedro Sequeira; Marco Vala; Ana Paiva 001 (AAMAS, 2007)

FearNot! demo: a virtual environment with synthetic characters to help bullying. - Marco Vala; Pedro Sequeira; Ana Paiva 001; Ruth Aylett (AAMAS, 2007)

eCIRCUS: building voices for autonomous speaking agents. - Christian Weiss; Luís C. Oliveira; Sérgio Paulo; Carlos Mendes; Luís Figueira; Marco Vala; Pedro Sequeira; Ana Paiva 001; Thurid Vogt; Elisabeth André (SSW, 2007)

FearNot! - An Emergent Narrative Approach to Virtual Dramas for Anti-bullying Education. - Ruth Aylett; Marco Vala; Pedro Sequeira; Ana Paiva 001 (International Conference on Virtual Storytelling, 2007)

Learning to interact: connecting perception with action in virtual environments. - Pedro Sequeira; Ana Paiva 001 (AAMAS (3), 2008)

ION Framework - A Simulation Environment for Worlds with Virtual Agents. - Marco Vala; Guilherme Raimundo; Pedro Sequeira; Pedro Cuba; Rui Prada; Carlos Martinho; Ana Paiva 001 (IVA, 2009)

Real-Time Sensory Pattern Mining for Autonomous Agents. - Pedro Sequeira; Cláudia Antunes (ADMI, 2010)

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

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

Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture. - Paula Prata; Paulo A. P. Fazendeiro; Pedro Sequeira (SEMCCO (2), 2011)

OpenCL Implementations of a Genetic Algorithm for Feature Selection in Periocular Biometric Recognition. - Paulo A. P. Fazendeiro; Chandrashekhar Padole; Pedro Sequeira; Paula Prata (SEMCCO, 2012)

A Comment on Bio-inspired Optimisation via GPU Architecture: The Genetic Algorithm Workload. - Paula Prata; Paulo A. P. Fazendeiro; Pedro Sequeira; Chandrashekhar Padole (SEMCCO, 2012)

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

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)

An Empathic Robotic Tutor in a Map Application. - Amol A. Deshmukh; Aidan Jones; Srinivasan Janarthanam; Helen F. Hastie; Tiago Ribeiro 001; Ruth Aylett; Ana Paiva 001; Ginevra Castellano; Mary Ellen Foster; Lee J. Corrigan; Fotios Papadopoulos; Eugenio Di Tullio; et al. (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)

"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 Empathic Robotic Tutor: Featuring the NAO Robot. - Tiago Ribeiro 001; Patrícia Alves-Oliveira; Eugenio Di Tullio; Sofia Petisca; Pedro Sequeira; Amol A. Deshmukh; Srinivasan Janarthanam; Mary Ellen Foster; Aidan Jones; Lee J. Corrigan; Fotios Papadopoulos; Helen F. Hastie; et al. (HRI (Extended Abstracts), 2015)

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

Can a child feel responsible for another in the presence of a robot in a collaborative learning activity? - Shruti Chandra; Patrícia Alves-Oliveira; Séverin Lemaignan; Pedro Sequeira; Ana Paiva 001; Pierre Dillenbourg (RO-MAN, 2015)

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

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)

The role that an educational robot plays. - Patrícia Alves-Oliveira; Pedro Sequeira; Ana Paiva 001 (RO-MAN, 2016)

Children's peer assessment and self-disclosure in the presence of an educational robot. - Shruti Chandra; Patrícia Alves-Oliveira; Séverin Lemaignan; Pedro Sequeira; Ana Paiva 001; Pierre Dillenbourg (RO-MAN, 2016)

Towards modeling agent negotiators by analyzing human negotiation behavior. - Yuyu Xu; Pedro Sequeira; Stacy Marsella (ACII, 2017)

Analyzing Human Negotiation using Automated Cognitive Behavior Analysis: The Effect of Personality. - Pedro Sequeira; Stacy Marsella (CogSci, 2018)

Learning Generative Models of Social Interactions with Humans-in-the-Loop. - Dan Feng 003; Pedro Sequeira; Elín Carstensdóttir; Magy Seif El-Nasr; Stacy Marsella (ICMLA, 2018)

An Integrated simulation Framework for examining Resiliency in pharmaceutical supply Chains considering Human Behaviors. - Rozhin Doroudi; Rana Azghandi; Zlatan Feric; Omid Mohaddesi; Yifan Sun 002; Jacqueline A. Griffin; Özlem Ergun; David R. Kaeli; Pedro Sequeira; Stacy Marsella; Casper Harteveld (WSC, 2018)

Interestingness Elements for Explainable Reinforcement Learning through Introspection. - Pedro Sequeira; Eric Yeh; Melinda T. Gervasio (IUI Workshops, 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)

A Supervised Topic Model Approach to Learning Effective Styles within Human-Agent Negotiation. - Yuyu Xu; David C. Jeong; Pedro Sequeira; Jonathan Gratch; Javed Aslam; Stacy Marsella (AAMAS, 2020)

Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations. - Pedro Sequeira; Melinda T. Gervasio (Artif. Intell., 2020)

Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. - Eric Yeh; Pedro Sequeira; Jesse Hostetler; Melinda T. Gervasio (CoRR, 2022)

A Framework for Understanding and Visualizing Strategies of RL Agents. - Pedro Sequeira; Daniel Elenius; Jesse Hostetler; Melinda T. Gervasio (CoRR, 2022)

Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments. - J. Brian Burns; Aravind Sundaresan; Pedro Sequeira; Vidyasagar Sadhu (CoRR, 2022)

Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. - Pedro Sequeira; Jesse Hostetler; Melinda T. Gervasio (CoRR, 2022)

Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task. - David V. Pynadath; Nikolos Gurney; Sarah Kenny; Rajay Kumar; Stacy C. Marsella; Haley Matuszak; Hala Mostafa; Pedro Sequeira; Volkan Ustun; Peggy Wu (AAMAS, 2023)

Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning. - Haochen Wu; Pedro Sequeira; David V. Pynadath (AAMAS, 2023)

Improving Teamwork through a Decision-Theoretic Coach in a Minecraft Search-and-Rescue Game. - David V. Pynadath; Nikolas Gurney; Sarah Kenny; Rajay Kumar; Stacy Marsella; Haley Matuszak; Hala Mostafa; Pedro Sequeira; Volkan Ustun; Peggy Wu (ICCE, 2023)

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness. - Pedro Sequeira; Melinda T. Gervasio (xAI (1), 2023)

Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. - Eric Yeh; Pedro Sequeira; Jesse Hostetler; Melinda T. Gervasio (xAI (3), 2023)

AI as Collaborative Partner: Rethinking Human-AI Teaming for the Real World. - Melinda T. Gervasio; Pedro Sequeira; Eric Yeh; Nicholas Marion; Sarah Bakst; Helen Gent (AAAI Spring Symposia, 2025)

ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies. - Pedro Sequeira; Vidyasagar Sadhu; Melinda T. Gervasio (CoRR, 2025)