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Pedro Sequeira
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2020 – today
- 2023
- [c35]Haochen Wu, Pedro Sequeira, David V. Pynadath:
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning. AAMAS 2023: 708-716 - [c34]David V. Pynadath, Nikolos Gurney, Sarah Kenny, Rajay Kumar, Stacy C. Marsella, Haley Matuszak, Hala Mostafa, Pedro Sequeira, Volkan Ustun, Peggy Wu:
Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task. AAMAS 2023: 2334-2336 - [c33]Pedro Sequeira
, Melinda T. Gervasio
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness. xAI (1) 2023: 373-396 - [c32]Eric Yeh
Outcome-Guided Counterfactuals from a Jointly Trained Generative Latent Space. xAI (3) 2023: 449-469 - [i8]Haochen Wu
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning. CoRR abs/2302.10238 (2023) - [i7]Pedro Sequeira, Melinda T. Gervasio:
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness. CoRR abs/2307.08933 (2023) - 2022
- [i6]Eric Yeh, Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Outcome-Guided Counterfactuals for Reinforcement Learning Agents from a Jointly Trained Generative Latent Space. CoRR abs/2207.07710 (2022) - [i5]Pedro Sequeira, Daniel Elenius, Jesse Hostetler, Melinda T. Gervasio:
A Framework for Understanding and Visualizing Strategies of RL Agents. CoRR abs/2208.08552 (2022) - [i4]J. Brian Burns, Aravind Sundaresan, Pedro Sequeira, Vidyasagar Sadhu:
Sensor Control for Information Gain in Dynamic, Sparse and Partially Observed Environments. CoRR abs/2211.01527 (2022) - [i3]Pedro Sequeira, Jesse Hostetler, Melinda T. Gervasio:
Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning. CoRR abs/2211.06376 (2022) - 2020
- [j4]Pedro Sequeira, Melinda T. Gervasio:
Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations. Artif. Intell. 288: 103367 (2020) - [c31]Yuyu Xu, David C. Jeong, Pedro Sequeira, Jonathan Gratch, Javed Aslam, Stacy Marsella:
A Supervised Topic Model Approach to Learning Effective Styles within Human-Agent Negotiation. AAMAS 2020: 2047-2049 - [e1]Stacy Marsella, Rachael Jack, Hannes Högni Vilhjálmsson, Pedro Sequeira, Emily S. Cross:
IVA '20: ACM International Conference on Intelligent Virtual Agents, Virtual Event, Scotland, UK, October 20-22, 2020. ACM 2020, ISBN 978-1-4503-7586-3 [contents]
2010 – 2019
- 2019
- [j3]Patrícia Alves-Oliveira
Empathic Robot for Group Learning: A Field Study. ACM Trans. Hum. Robot Interact. 8(1): 3:1-3:34 (2019) - [c30]Pedro Sequeira, Eric Yeh, Melinda T. Gervasio:
Interestingness Elements for Explainable Reinforcement Learning through Introspection. IUI Workshops 2019 - [i2]Patrícia Alves-Oliveira, Pedro Sequeira, Francisco S. Melo, Ginevra Castellano, Ana Paiva:
Empathic Robot for Group Learning: A Field Study. CoRR abs/1902.01800 (2019) - [i1]Pedro Sequeira, Melinda T. Gervasio:
Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations. CoRR abs/1912.09007 (2019) - 2018
- [c29]Pedro Sequeira, Stacy Marsella:
Analyzing Human Negotiation using Automated Cognitive Behavior Analysis: The Effect of Personality. CogSci 2018 - [c28]Dan Feng, Pedro Sequeira, Elín Carstensdóttir, Magy Seif El-Nasr, Stacy Marsella:
Learning Generative Models of Social Interactions with Humans-in-the-Loop. ICMLA 2018: 509-516 - [c27]Rozhin Doroudi, Rana Azghandi, Zlatan Feric, Omid Mohaddesi
An Integrated simulation Framework for examining Resiliency in pharmaceutical supply Chains considering Human Behaviors. WSC 2018: 88-99 - 2017
- [c26]Yuyu Xu, Pedro Sequeira, Stacy Marsella:
Towards modeling agent negotiators by analyzing human negotiation behavior. ACII 2017: 58-64 - 2016
- [c25]Pedro Sequeira, Francisco S. Melo, Ana Paiva:
Emergence of Emotional Appraisal Signals in Reinforcement Learning Agents. AAMAS 2016: 466-467 - [c24]Pedro Sequeira, Patrícia Alves-Oliveira
Discovering Social Interaction Strategies for Robots from Restricted-Perception Wizard-of-Oz Studies. HRI 2016: 197-204 - [c23]Shruti Chandra
Children's peer assessment and self-disclosure in the presence of an educational robot. RO-MAN 2016: 539-544 - [c22]Patrícia Alves-Oliveira
The role that an educational robot plays. RO-MAN 2016: 817-822 - 2015
- [j2]Pedro Sequeira, Francisco S. Melo
Emergence of emotional appraisal signals in reinforcement learning agents. Auton. Agents Multi Agent Syst. 29(4): 537-568 (2015) - [c21]Patrícia Alves-Oliveira, Pedro Sequeira, Eugenio Di Tullio, Sofia Petisca, Carla Guerra, Francisco S. Melo, Ana Paiva:
"It's Amazing, We Are All Feeling It!" - Emotional Climate as a Group-Level Emotional Expression in HRI. AAAI Fall Symposia 2015: 13-16 - [c20]Pedro Sequeira, Samuel Mascarenhas, Francisco S. Melo, Ana Paiva:
The "Favors Game": A Framework to Study the Emergence of Cooperation through Social Importance. AAMAS 2015: 1899-1900 - [c19]Amol A. Deshmukh, Aidan Jones, Srinivasan Janarthanam, Helen F. Hastie, Tiago Ribeiro, Ruth Aylett, Ana Paiva, Ginevra Castellano, Mary Ellen Foster, Lee J. Corrigan, Fotios Papadopoulos, Eugenio Di Tullio, Pedro Sequeira:
An Empathic Robotic Tutor in a Map Application. AAMAS 2015: 1923-1924 - [c18]Pedro Sequeira, Francisco S. Melo
"Let's save resources!": A dynamic, collaborative AI for a multiplayer environmental awareness game. CIG 2015: 399-406 - [c17]Tiago Ribeiro
The Empathic Robotic Tutor: Featuring the NAO Robot. HRI (Extended Abstracts) 2015: 285 - [c16]Pedro Sequeira, Samuel Mascarenhas
The development of cooperation in evolving populations through social importance. ICDL-EPIROB 2015: 308-313 - [c15]Shruti Chandra
Can a child feel responsible for another in the presence of a robot in a collaborative learning activity? RO-MAN 2015: 167-172 - 2014
- [j1]Pedro Sequeira, Francisco S. Melo
Learning by appraising: an emotion-based approach to intrinsic reward design. Adapt. Behav. 22(5): 330-349 (2014) - [c14]Pedro Sequeira, Francisco S. Melo
The influence of social display in competitive multiagent learning. ICDL-EPIROB 2014: 56-61 - 2013
- [c13]Pedro Sequeira, Francisco S. Melo
An Associative State-Space Metric for Learning in Factored MDPs. EPIA 2013: 163-174 - 2012
- [c12]Paula Prata
A Comment on Bio-inspired Optimisation via GPU Architecture: The Genetic Algorithm Workload. SEMCCO 2012: 670-678 - [c11]Paulo A. P. Fazendeiro
OpenCL Implementations of a Genetic Algorithm for Feature Selection in Periocular Biometric Recognition. SEMCCO 2012: 729-737 - 2011
- [c10]Pedro Sequeira, Francisco S. Melo
Emotion-Based Intrinsic Motivation for Reinforcement Learning Agents. ACII (1) 2011: 326-336 - [c9]Pedro Sequeira, Francisco S. Melo
Emerging social awareness: Exploring intrinsic motivation in multiagent learning. ICDL-EPIROB 2011: 1-6 - [c8]Paula Prata
Towards Cost-Effective Bio-inspired Optimization: A Prospective Study on the GPU Architecture. SEMCCO (2) 2011: 63-70 - 2010
- [c7]Pedro Sequeira, Cláudia Antunes
Real-Time Sensory Pattern Mining for Autonomous Agents. ADMI 2010: 71-83
2000 – 2009
- 2009
- [c6]Marco Vala
ION Framework - A Simulation Environment for Worlds with Virtual Agents. IVA 2009: 418-424 - 2008
- [c5]Pedro Sequeira, Ana Paiva:
Learning to interact: connecting perception with action in virtual environments. AAMAS (3) 2008: 1257-1260 - 2007
- [c4]Pedro Sequeira, Marco Vala
What can i do with this?: finding possible interactions between characters and objects. AAMAS 2007: 5 - [c3]Marco Vala
FearNot! demo: a virtual environment with synthetic characters to help bullying. AAMAS 2007: 271 - [c2]Christian Weiss, Luís C. Oliveira, Sérgio Paulo, Carlos Mendes, Luís Figueira, Marco Vala, Pedro Sequeira, Ana Paiva, Thurid Vogt, Elisabeth André:
eCIRCUS: building voices for autonomous speaking agents. SSW 2007: 300-303 - [c1]Ruth Aylett, Marco Vala
FearNot! - An Emergent Narrative Approach to Virtual Dramas for Anti-bullying Education. International Conference on Virtual Storytelling 2007: 202-205
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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