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Francisco S. Melo
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2020 – today
- 2025
- [i28]Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo:
Networked Agents in the Dark: Team Value Learning under Partial Observability. CoRR abs/2501.08778 (2025) - [i27]Guilherme S. Varela, Alberto Sardinha, Francisco S. Melo:
Distributed Value Decomposition Networks with Networked Agents. CoRR abs/2502.07635 (2025) - [i26]Fábio Vital, Alberto Sardinha, Francisco S. Melo:
Implicit Repair with Reinforcement Learning in Emergent Communication. CoRR abs/2502.12624 (2025) - 2024
- [j24]Miguel Faria
, Francisco S. Melo, Ana Paiva:
"Guess what I'm doing": Extending legibility to sequential decision tasks. Artif. Intell. 330: 104107 (2024) - [j23]Pedro P. Santos
The impact of data distribution on Q-learning with function approximation. Mach. Learn. 113(9): 6141-6163 (2024) - [j22]Filipa Correia
When a Robot Is Your Teammate. Top. Cogn. Sci. 16(3): 527-553 (2024) - [c107]João G. Ribeiro, Gonçalo Rodrigues, Alberto Sardinha, Francisco S. Melo:
TEAMSTER: Model-Based Reinforcement Learning for Ad Hoc Teamwork (Abstract Reprint). AAAI 2024: 22708 - [c106]Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo:
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning. AAMAS 2024: 2453-2455 - [c105]Jacopo Silvestrin, Francisco S. Melo, Manuel Lopes:
A Comparative Study of Continual Backpropagation. EPIA (2) 2024: 324-334 - [c104]Rustam Zayanov, Francisco S. Melo, Manuel Lopes:
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback. ICAART (1) 2024: 15-24 - [c103]Bernardo Esteves, Miguel Vasco, Francisco S. Melo:
NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks. NeurIPS 2024 - [e3]Ulle Endriss, Francisco S. Melo, Kerstin Bach, Alberto José Bugarín Diz, Jose Maria Alonso-Moral
ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Frontiers in Artificial Intelligence and Applications 392, IOS Press 2024, ISBN 978-1-64368-548-9 [contents] - [i25]Bernardo Esteves, Miguel Vasco, Francisco S. Melo:
NeuralThink: Algorithm Synthesis that Extrapolates in General Tasks. CoRR abs/2402.15393 (2024) - [i24]Pedro P. Santos, Alberto Sardinha, Francisco S. Melo:
The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes. CoRR abs/2409.15128 (2024) - 2023
- [j21]João G. Ribeiro
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork. Artif. Intell. 324: 104013 (2023) - [j20]Filipa Correia
Robotic Gaze Responsiveness in Multiparty Teamwork. Int. J. Soc. Robotics 15(1): 27-36 (2023) - [c102]Gonçalo Querido, Alberto Sardinha, Francisco S. Melo:
Learning to Perceive in Deep Model-Free Reinforcement Learning. AAMAS 2023: 2595-2597 - [c101]Diogo S. Carvalho
Theoretical Remarks on Feudal Hierarchies and Reinforcement Learning. ECAI 2023: 351-356 - [c100]João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo:
Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. ECAI 2023: 1954-1961 - [c99]Bernardo Esteves, Miguel Vasco, Francisco S. Melo:
Pre-training with Augmentations for Efficient Transfer in Model-Based Reinforcement Learning. EPIA (1) 2023: 133-145 - [i23]Gonçalo Querido, Alberto Sardinha, Francisco S. Melo:
Learning to Perceive in Deep Model-Free Reinforcement Learning. CoRR abs/2301.03730 (2023) - [i22]Rustam Zayanov, Francisco S. Melo, Manuel Lopes:
Interactively Teaching an Inverse Reinforcement Learner with Limited Feedback. CoRR abs/2309.09095 (2023) - [i21]Diogo S. Carvalho, Pedro A. Santos
Multi-Bellman operator for convergence of Q-learning with linear function approximation. CoRR abs/2309.16819 (2023) - [i20]João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo:
Making Friends in the Dark: Ad Hoc Teamwork Under Partial Observability. CoRR abs/2310.01439 (2023) - 2022
- [j19]Kim Baraka, Marta Couto, Francisco S. Melo, Ana Paiva, Manuela Veloso:
"Sequencing Matters": Investigating Suitable Action Sequences in Robot-Assisted Autism Therapy. Frontiers Robotics AI 9: 784249 (2022) - [j18]Ramona Merhej, Fernando P. Santos
Cooperation and Learning Dynamics under Wealth Inequality and Diversity in Individual Risk. J. Artif. Intell. Res. 74: 733-764 (2022) - [j17]Miguel Vasco
Leveraging hierarchy in multimodal generative models for effective cross-modality inference. Neural Networks 146: 238-255 (2022) - [c98]Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Mohamed Chetouani, Francisco C. Santos:
Cooperation and Learning Dynamics under Risk Diversity and Financial Incentives. AAMAS 2022: 908-916 - [c97]Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva:
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. AAMAS 2022: 1301-1309 - [c96]Carla Guerra, Francisco S. Melo, Manuel Lopes
FIT: Using Feature Importance to Teach Classification Tasks to Unknown Learners. EPIA 2022: 440-451 - [c95]Francisco S. Melo, Plinio Moreno
Socially Reactive Navigation Models for Mobile Robots. ICARSC 2022: 91-97 - [c94]Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic:
Geometric Multimodal Contrastive Representation Learning. ICML 2022: 17782-17800 - [c93]Fábio Vital, Miguel Vasco, Alberto Sardinha, Francisco S. Melo:
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories. IROS 2022: 5855-5860 - [e2]Francisco S. Melo
Autonomous Agents and Multiagent Systems. Best and Visionary Papers - AAMAS 2022 Workshops, Virtual Event, May 9-13, 2022, Revised Selected Papers. Lecture Notes in Computer Science 13441, Springer 2022, ISBN 978-3-031-20178-3 [contents] - [i19]João G. Ribeiro, Cassandro Martinho, Alberto Sardinha, Francisco S. Melo:
Assisting Unknown Teammates in Unknown Tasks: Ad Hoc Teamwork under Partial Observability. CoRR abs/2201.03538 (2022) - [i18]Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Mohamed Chetouani, Francisco C. Santos:
Learning Collective Action under Risk Diversity. CoRR abs/2201.12891 (2022) - [i17]Petra Poklukar, Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva, Danica Kragic:
GMC - Geometric Multimodal Contrastive Representation Learning. CoRR abs/2202.03390 (2022) - [i16]Fábio Vital, Miguel Vasco, Alberto Sardinha, Francisco S. Melo:
Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories. CoRR abs/2204.03051 (2022) - [i15]Miguel Faria
"Guess what I'm doing": Extending legibility to sequential decision tasks. CoRR abs/2209.09141 (2022) - [i14]Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo:
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning. CoRR abs/2210.06274 (2022) - 2021
- [j16]Francisco S. Melo, Manuel Lopes
Teaching Multiple Inverse Reinforcement Learners. Frontiers Artif. Intell. 4 (2021) - [j15]Ana Salta
A Game AI Competition to Foster Collaborative AI Research and Development. IEEE Trans. Games 13(4): 398-409 (2021) - [c92]Carla Guerra, Francisco S. Melo, Manuel Lopes
Interactive Teaching with Groups of Unknown Bayesian Learners. AIED (2) 2021: 178-182 - [c91]Ramona Merhej, Fernando P. Santos, Francisco S. Melo, Francisco C. Santos:
Cooperation between Independent Reinforcement Learners under Wealth Inequality and Collective Risks. AAMAS 2021: 898-906 - [c90]Carla Guerra, Francisco S. Melo, Manuel Lopes:
Teaching Unknown Learners to Classify via Feature Importance. AAMAS 2021: 1524-1526 - [c89]Bernardo Esteves
Revisiting "Recurrent World Models Facilitate Policy Evolution". EPIA 2021: 325-337 - [c88]Pedro Ildefonso
Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. EPIA 2021: 405-417 - [c87]Ali H. Kordia, Francisco S. Melo:
Compound Movement Recognition Using Dynamic Movement Primitives. EPIA 2021: 456-468 - [c86]João G. Ribeiro, Miguel Faria
Helping People on the Fly: Ad Hoc Teamwork for Human-Robot Teams. EPIA 2021: 635-647 - [c85]Pedro M. Santos, João G. Ribeiro, Alberto Sardinha, Francisco S. Melo:
Ad Hoc Teamwork in the Presence of Non-stationary Teammates. EPIA 2021: 648-660 - [c84]Ali H. Kordia, Francisco S. Melo:
Movement recognition and prediction using DMPs. ICRA 2021: 8544-8550 - [c83]Miguel Faria
Understanding Robots: Making Robots More Legible in Multi-Party Interactions. RO-MAN 2021: 1031-1036 - [e1]Goreti Marreiros
Progress in Artificial Intelligence - 20th EPIA Conference on Artificial Intelligence, EPIA 2021, Virtual Event, September 7-9, 2021, Proceedings. Lecture Notes in Computer Science 12981, Springer 2021, ISBN 978-3-030-86229-9 [contents] - [i13]Guilherme S. Varela, Pedro P. Santos, Alberto Sardinha, Francisco S. Melo:
A Methodology for the Development of RL-Based Adaptive Traffic Signal Controllers. CoRR abs/2101.09614 (2021) - [i12]Ricardo Quinteiro, Francisco S. Melo, Pedro A. Santos:
Limited depth bandit-based strategy for Monte Carlo planning in continuous action spaces. CoRR abs/2106.15594 (2021) - [i11]Miguel Vasco, Hang Yin, Francisco S. Melo, Ana Paiva:
How to Sense the World: Leveraging Hierarchy in Multimodal Perception for Robust Reinforcement Learning Agents. CoRR abs/2110.03608 (2021) - [i10]Pedro P. Santos, Francisco S. Melo, Alberto Sardinha, Diogo S. Carvalho:
Understanding the Impact of Data Distribution on Q-learning with Function Approximation. CoRR abs/2111.11758 (2021) - 2020
- [j14]Kim Baraka
Optimal action sequence generation for assistive agents in fixed horizon tasks. Auton. Agents Multi Agent Syst. 34(2): 33 (2020) - [c82]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS 2020: 1260-1268 - [c81]Ali H. Kordia, Francisco S. Melo:
An End-to-end Approach for Learning and Generating Complex Robot Motions from Demonstration. ICARCV 2020: 1008-1014 - [c80]Diogo Carvalho, Francisco S. Melo, Pedro Santos:
A new convergent variant of Q-learning with linear function approximation. NeurIPS 2020 - [c79]Silvia Tulli, Sebastian Wallkötter, Ana Paiva, Francisco S. Melo, Mohamed Chetouani:
Learning from Explanations and Demonstrations: A Pilot Study. NL4XAI@INGL 2020: 61-66 - [c78]Filipa Correia
The Dark Side of Embodiment - Teaming Up With Robots VS Disembodied Agents. Robotics: Science and Systems 2020 - [c77]Silvia Tulli
Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios. ICSR 2020: 23-35 - [i9]Miguel Vasco, Francisco S. Melo, Ana Paiva:
MHVAE: a Human-Inspired Deep Hierarchical Generative Model for Multimodal Representation Learning. CoRR abs/2006.02991 (2020) - [i8]Ana Salta, Rui Prada, Francisco S. Melo:
A Game AI Competition to foster Collaborative AI research and development. CoRR abs/2010.08885 (2020)
2010 – 2019
- 2019
- [j13]Filipa Correia
"I Choose... YOU!" Membership preferences in human-robot teams. Auton. Robots 43(2): 359-373 (2019) - [j12]Hang Yin
An ensemble inverse optimal control approach for robotic task learning and adaptation. Auton. Robots 43(4): 875-896 (2019) - [j11]Francisco S. Melo, Alberto Sardinha, David Belo
Project INSIDE: towards autonomous semi-unstructured human-robot social interaction in autism therapy. Artif. Intell. Medicine 96: 198-216 (2019) - [j10]Kim Baraka
Interactive robots with model-based 'autism-like' behaviors. Paladyn J. Behav. Robotics 10(1): 103-116 (2019) - [j9]Patrícia Alves-Oliveira
Empathic Robot for Group Learning: A Field Study. ACM Trans. Hum. Robot Interact. 8(1): 3:1-3:34 (2019) - [c76]Rui Silva, Gabriele Farina, Francisco S. Melo, Manuela Veloso:
A Theoretical and Algorithmic Analysis of Configurable MDPs. ICAPS 2019: 455-463 - [c75]Silvia Tulli
Effects of Agents' Transparency on Teamwork. EXTRAAMAS@AAMAS 2019: 22-37 - [c74]Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso:
An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. AAMAS 2019: 95-103 - [c73]Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura:
Online Motion Concept Learning: A Novel Algorithm for Sample-Efficient Learning and Recognition of Human Actions. AAMAS 2019: 2244-2246 - [c72]Filipa Correia, Samuel Mascarenhas, Samuel Gomes, Silvia Tulli, Fernando P. Santos, Francisco C. Santos, Rui Prada, Francisco S. Melo, Ana Paiva:
For The Record - A Public Goods Game For Exploring Human-Robot Collaboration. AAMAS 2019: 2351-2353 - [c71]Ana Salta, Rui Prada
Solving Motion and Action Planning for a Cooperative Agent Problem Using Geometry Friends. EPIA (1) 2019: 86-97 - [c70]João G. Ribeiro
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning. GCAI 2019: 163-175 - [c69]Filipa Correia
Exploring Prosociality in Human-Robot Teams. HRI 2019: 143-151 - [c68]Filipa Correia
Group Intelligence on Social Robots. HRI 2019: 703-705 - [c67]Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura:
Learning Multimodal Representations for Sample-efficient Recognition of Human Actions. IROS 2019: 4288-4293 - [c66]Filipa Correia
Walk the Talk! Exploring (Mis)Alignment of Words and Deeds by Robotic Teammates in a Public Goods Game. RO-MAN 2019: 1-7 - [i7]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) - [i6]Miguel Vasco, Francisco S. Melo, David Martins de Matos, Ana Paiva, Tetsunari Inamura:
Learning multimodal representations for sample-efficient recognition of human actions. CoRR abs/1903.02511 (2019) - [i5]João G. Ribeiro, Francisco S. Melo, João Dias:
Multi-task Learning and Catastrophic Forgetting in Continual Reinforcement Learning. CoRR abs/1909.10008 (2019) - [i4]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. CoRR abs/1911.12851 (2019) - [i3]Manuel Lopes, Francisco S. Melo:
Class Teaching for Inverse Reinforcement Learners. CoRR abs/1911.13009 (2019) - 2018
- [j8]Francisco S. Melo, Samuel Mascarenhas, Ana Paiva:
A tutorial on machine learning for interactive pedagogical systems. Int. J. Serious Games 5(3): 79-112 (2018) - [c65]Filipa Correia, Carla Guerra, Samuel Mascarenhas, Francisco S. Melo, Ana Paiva:
Exploring the Impact of Fault Justification in Human-Robot Trust. AAMAS 2018: 507-513 - [c64]Rui Silva, Francisco S. Melo, Manuela Veloso:
What if the World Were Different? Gradient-Based Exploration for New Optimal Policies. GCAI 2018: 229-242 - [c63]Filipa Correia
Group-based Emotions in Teams of Humans and Robots. HRI 2018: 261-269 - [c62]Tomás Alves
Towards Guidelines for Mental State Induction in First-Person Shooters. ICGI 2018: 1-4 - [c61]Francisco S. Melo, Carla Guerra, Manuel Lopes
Interactive Optimal Teaching with Unknown Learners. IJCAI 2018: 2567-2573 - [c60]Tomás Alves
Flow adaptation in serious games for health. SeGAH 2018: 1-8 - [i2]Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca:
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. CoRR abs/1812.07613 (2018) - 2017
- [j7]Stefan J. Witwicki, José Carlos Castillo
Autonomous Surveillance Robots: A Decision-Making Framework for Networked Muiltiagent Systems. IEEE Robotics Autom. Mag. 24(3): 52-64 (2017) - [c59]Hang Yin, Francisco S. Melo, Aude Billard, Ana Paiva:
Associate Latent Encodings in Learning from Demonstrations. AAAI 2017: 3848-3854 - [c58]Filipa Correia, Patrícia Alves-Oliveira, Tiago Ribeiro, Francisco S. Melo, Ana Paiva:
A Social Robot as a Card Game Player. AIIDE 2017: 23-29 - [c57]Vânia Mendonça, Francisco S. Melo, Luísa Coheur, Alberto Sardinha:
A Conversational Agent Powered by Online Learning. AAMAS 2017: 1637-1639 - [c56]Andre Santos, Pedro Alexandre Santos
Monte Carlo tree search experiments in hearthstone. CIG 2017: 272-279 - [c55]Vânia Mendonça, Francisco S. Melo, Luísa Coheur
Online Learning for Conversational Agents. EPIA 2017: 739-750 - [c54]Kim Baraka
Simulating Behaviors of Children with Autism Spectrum Disorders Through Reversal of the Autism Diagnosis Process. EPIA 2017: 753-765 - [c53]Kim Baraka
Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disorders. ICDL-EPIROB 2017: 202-208 - [c52]Maria José Ferreira
Learning and Teaching Biodiversity Through a Storyteller Robot. ICIDS 2017: 367-371 - [c51]Miguel Faria
"Me and you together" movement impact in multi-user collaboration tasks. IROS 2017: 2793-2798 - [c50]Rui Silva, Miguel Faria
Adaptive indirect control through communication in collaborative human-robot interaction. IROS 2017: 3617-3622 - [c49]Filipa Correia
Groups of humans and robots: Understanding membership preferences and team formation. Robotics: Science and Systems 2017 - [c48]Kim Baraka
'Autistic Robots' for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities. ICSR 2017: 105-114 - 2016
- [j6]Francisco S. Melo
Ad hoc teamwork by learning teammates' task. Auton. Agents Multi Agent Syst. 30(2): 175-219 (2016) - [c47]Miguel Faria, Rui Silva, Francisco S. Melo, Ana Paiva:
Me and You Together: A Study on Collaboration in Manipulation Tasks. AAAI Fall Symposia 2016 - [c46]Fernando P. Santos
Dynamics of Fairness in Groups of Autonomous Learning Agents. AAMAS Workshops (Selected Papers) 2016: 107-126 - [c45]Pedro Sequeira, Francisco S. Melo, Ana Paiva:
Emergence of Emotional Appraisal Signals in Reinforcement Learning Agents. AAMAS 2016: 466-467 - [c44]Francisco S. Melo, Alberto Sardinha:
Ad Hoc Teamwork by Learning Teammates' Task. AAMAS 2016: 577-578 - [c43]Fernando P. Santos, Francisco C. Santos, Francisco S. Melo, Ana Paiva, Jorge M. Pacheco:
Learning to be Fair in Multiplayer Ultimatum Games: (Extended Abstract). AAMAS 2016: 1381-1382 - [c42]Rui Soares, Francisco Leal, Rui Prada, Francisco S. Melo:
Rapidly-Exploring Random Tree approach for Geometry Friends. DiGRA/FDG 2016 - [c41]Rui Silva, Francisco S. Melo, Manuela M. Veloso:
Adaptive Symbiotic Collaboration for Targeted Complex Manipulation Tasks. ECAI 2016: 863-870 - [c40]Pedro Sequeira, Patrícia Alves-Oliveira
Discovering Social Interaction Strategies for Robots from Restricted-Perception Wizard-of-Oz Studies. HRI 2016: 197-204 - [c39]Filipa Correia
Building a Social Robot as a Game Companion in a Card Game. HRI 2016: 563 - [c38]Hang Yin, Patrícia Alves-Oliveira, Francisco S. Melo, Aude Billard, Ana Paiva:
Synthesizing Robotic Handwriting Motion by Learning from Human Demonstrations. IJCAI 2016: 3530-3537 - [c37]Beatriz Bernardo, Patrícia Alves-Oliveira
An Interactive Tangram Game for Children with Autism. IVA 2016: 500-504 - [c36]Filipa Correia
Just follow the suit! Trust in human-robot interactions during card game playing. RO-MAN 2016: 507-512 - 2015
- [j5]Pedro Sequeira, Francisco S. Melo
Emergence of emotional appraisal signals in reinforcement learning agents. Auton. Agents Multi Agent Syst. 29(4): 537-568 (2015) - [c35]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 - [c34]Pedro Mota, Francisco S. Melo, Luísa Coheur:
Modeling Students Self-Studies Behaviors. AAMAS 2015: 1521-1528 - [c33]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 - [c32]Pedro Sequeira, Francisco S. Melo
"Let's save resources!": A dynamic, collaborative AI for a multiplayer environmental awareness game. CIG 2015: 399-406 - [c31]Joao Quiterio, Rui Prada
A reinforcement learning approach for the circle agent of geometry friends. CIG 2015: 423-430 - [c30]Rui Prada
The geometry friends game AI competition. CIG 2015: 431-438 - [c29]Pedro Sequeira, Samuel Mascarenhas
The development of cooperation in evolving populations through social importance. ICDL-EPIROB 2015: 308-313 - [c28]Rui Silva, Francisco S. Melo
Towards table tennis with a quadrotor autonomous learning robot and onboard vision. IROS 2015: 649-655 - [c27]Patrícia Alves-Oliveira
An Empathic Robotic Tutor for School Classrooms: Considering Expectation and Satisfaction of Children as End-Users. ICSR 2015: 21-30 - [c26]Steven D. Klee, Beatriz Quintino Ferreira
Personalized Assistance for Dressing Users. ICSR 2015: 359-369 - 2014
- [j4]Pedro Sequeira, Francisco S. Melo
Learning by appraising: an emotion-based approach to intrinsic reward design. Adapt. Behav. 22(5): 330-349 (2014) - [c25]Stefan J. Witwicki, José Carlos Castillo, Jesús Capitán, João V. Messias, João C. G. Reis, Pedro U. Lima, Francisco S. Melo, Matthijs T. J. Spaan:
A testbed for autonomous robot surveillance. AAMAS 2014: 1635-1636 - [c24]Pedro Sequeira, Francisco S. Melo
The influence of social display in competitive multiagent learning. ICDL-EPIROB 2014: 56-61 - 2013
- [c23]Stefan J. Witwicki, Francisco S. Melo, Jesús Capitán, Matthijs T. J. Spaan:
A Flexible Approach to Modeling Unpredictable Events in MDPs. ICAPS 2013 - [c22]Nuno Marques, Francisco S. Melo, Samuel Mascarenhas, João Dias, Rui Prada, Ana Paiva:
Towards agents with human-like decisions under uncertainty. CogSci 2013 - [c21]Pedro Sequeira, Francisco S. Melo
An Associative State-Space Metric for Learning in Factored MDPs. EPIA 2013: 163-174 - [i1]Francisco S. Melo, Manuel Lopes:
Multi-class Generalized Binary Search for Active Inverse Reinforcement Learning. CoRR abs/1301.5488 (2013) - 2011
- [j3]Francisco S. Melo
Decentralized MDPs with sparse interactions. Artif. Intell. 175(11): 1757-1789 (2011) - [c20]Francisco S. Melo:
Differential Eligibility Vectors for Advantage Updating and Gradient Methods. AAAI 2011: 441-446 - [c19]Pedro Sequeira, Francisco S. Melo
Emotion-Based Intrinsic Motivation for Reinforcement Learning Agents. ACII (1) 2011: 326-336 - [c18]Francisco S. Melo, Matthijs T. J. Spaan, Stefan J. Witwicki:
QueryPOMDP: POMDP-Based Communication in Multiagent Systems. EUMAS 2011: 189-204 - [c17]Pedro Sequeira, Francisco S. Melo
Emerging social awareness: Exploring intrinsic motivation in multiagent learning. ICDL-EPIROB 2011: 1-6 - 2010
- [j2]Francisco S. Melo
Coordinated learning in multiagent MDPs with infinite state-space. Auton. Agents Multi Agent Syst. 21(3): 321-367 (2010) - [c16]Francisco S. Melo, Manuela M. Veloso:
Approximate planning for decentralized MDPs with sparse interactions. AAMAS 2010: 1389-1390 - [c15]Francisco S. Melo
Heuristic Planning for Decentralized MDPs with Sparse Interactions. DARS 2010: 329-343 - [c14]Francisco S. Melo, Manuel Lopes, Ricardo Ferreira:
Analysis of Inverse Reinforcement Learning with Perturbed Demonstrations. ECAI 2010: 349-354 - [c13]Francisco S. Melo
Learning from Demonstration Using MDP Induced Metrics. ECML/PKDD (2) 2010: 385-401 - [p1]Manuel Lopes
Abstraction Levels for Robotic Imitation: Overview and Computational Approaches. From Motor Learning to Interaction Learning in Robots 2010: 313-355
2000 – 2009
- 2009
- [j1]Manuel Lopes
A Computational Model of Social-Learning Mechanisms. Adapt. Behav. 17(6): 467-483 (2009) - [c12]Francisco S. Melo, Manuela M. Veloso:
Learning of coordination: exploiting sparse interactions in multiagent systems. AAMAS (2) 2009: 773-780 - [c11]Manuel Lopes
Active Learning for Reward Estimation in Inverse Reinforcement Learning. ECML/PKDD (2) 2009: 31-46 - 2008
- [c10]Francisco S. Melo, M. Isabel Ribeiro:
Emerging coordination in infinite team Markov games. AAMAS (1) 2008: 355-362 - [c9]Matthijs T. J. Spaan, Francisco S. Melo:
Interaction-driven Markov games for decentralized multiagent planning under uncertainty. AAMAS (1) 2008: 525-532 - [c8]Francisco S. Melo:
Exploiting locality of interactions using a policy-gradient approach in multiagent learning. ECAI 2008: 157-161 - [c7]Francisco S. Melo, Sean P. Meyn, M. Isabel Ribeiro:
An analysis of reinforcement learning with function approximation. ICML 2008: 664-671 - [c6]Francisco S. Melo
Reinforcement learning with function approximation for cooperative navigation tasks. ICRA 2008: 3321-3327 - [c5]Francisco S. Melo
Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs. ECML/PKDD (2) 2008: 66-81 - 2007
- [c4]Francisco S. Melo, M. Isabel Ribeiro:
Q -Learning with Linear Function Approximation. COLT 2007: 308-322 - [c3]Francisco S. Melo, Manuel C. Lopes:
Convergence of Independent Adaptive Learners. EPIA Workshops 2007: 555-567 - [c2]Manuel Lopes
Affordance-based imitation learning in robots. IROS 2007: 1015-1021 - 2006
- [c1]Francisco S. Melo, M. Isabel Ribeiro:
Transition Entropy in Partially Observable Markov Decision Processes. IAS 2006: 282-289
Coauthor Index
Manuel Lopes 0001
aka: Manuel C. Lopes
aka: Manuel C. Lopes
Samuel Mascarenhas
aka: Samuel Francisco Mascarenhas
aka: Samuel Francisco Mascarenhas
[j24] [j22] [c106] [j20] [j19] [j17] [c97] [c94] [i17] [i15] [i14] [c88] [c83] [i11] [c82] [c79] [c78] [c77] [i9] [j13] [j12] [j11] [j9] [c75] [c73] [c72] [c69] [c68] [c67] [c66] [i7] [i6] [i4] [j8] [c65] [c63] [c59] [c58] [c52] [c51] [c49] [c47] [c46] [c45] [c43] [c40] [c39] [c38] [c37] [c36] [j5] [c35] [c33] [c32] [c29] [c27] [j4] [c24] [c22] [c21] [c19] [c17]
Manuela M. Veloso
aka: Manuela Veloso
aka: Manuela Veloso
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