334 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pontifícia Universidade Católica de São PauloBR10 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT8 papers
- Universidade Federal do Rio Grande do SulBR7 papers
- Universidade SalvadorBR6 papers
- University of OuluFI5 papers
- Blekinge Institute of TechnologySE4 papers
- Hanyang UniversityKR4 papers
- Jožef Stefan InstituteSI4 papers
- Max Planck Institute for Extraterrestrial PhysicsDE4 papers
- Technical University of MunichDE4 papers
- Universidade Federal da BahiaBR4 papers
- Universität InnsbruckAT4 papers
7 papers · 1 filter
Goal Recognition as Reinforcement Learning
Leonardo Rosa Amado, Reuth Mirsky, Felipe Meneguzzi
Most approaches for goal recognition rely on specifications of the possible dynamics of the actor in the environment when pursuing a goal. These specifications suffer from two key…
Detecting Logical Relation In Contract Clauses
Alexandre Yukio Ichida, Felipe Meneguzzi
Contracts underlie most modern commercial transactions defining define the duties and obligations of the related parties in an agreement. Ensuring such agreements are error free is…
CP-MDP: A CANDECOMP-PARAFAC Decomposition Approach to Solve a Markov Decision Process Multidimensional Problem
Daniela Kuinchtner, Afonso Sales, Felipe Meneguzzi
Markov Decision Process (MDP) is the underlying model for optimal planning for decision-theoretic agents in stochastic environments. Although much research focuses on solving MDP p…
Inferring Agents Preferences as Priors for Probabilistic Goal Recognition
Kin Max Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal recognition have leveraged planning landmarks to achieve high-accuracy with low runtime cost. These approaches, however, lack a probabilistic interpretati…
Good AI for the Present of Humanity Democratizing AI Governance
Nicholas Kluge Corrêa, Nythamar de Oliveira
What do Cyberpunk and AI Ethics have to do with each other? Cyberpunk is a sub-genre of science fiction that explores the post-human relationships between human experience and tech…
The More the Merrier?! Evaluating the Effect of Landmark Extraction Algorithms on Landmark-Based Goal Recognition
Kin Max Piamolini Gusmão, Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal and plan recognition using classical planning domains have achieved state of the art results in terms of both recognition time and accuracy by using heuri…
LSTM-Based Goal Recognition in Latent Space
Leonardo Amado, João Paulo Aires, Ramon Fraga Pereira +3
Approaches to goal recognition have progressively relaxed the requirements about the amount of domain knowledge and available observations, yielding accurate and efficient algorith…