34 citations · 68 across the 12 of their papers we have counts for
16 papers
HyperTensioN and Total-order Forward Decomposition optimizations
Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva
Hierarchical Task Networks (HTN) planners generate plans using a decomposition process with extra domain knowledge to guide search towards a planning task. While domain experts dev…
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…
Norm Identification through Plan Recognition
Nir Oren, Felipe Meneguzzi
Societal rules, as exemplified by norms, aim to provide a degree of behavioural stability to multi-agent societies. Norms regulate a society using the deontic concepts of permissio…
Imitating Unknown Policies via Exploration
Nathan Gavenski, Juarez Monteiro, Roger Granada +2
Behavioral cloning is an imitation learning technique that teaches an agent how to behave through expert demonstrations. Recent approaches use self-supervision of fully-observable…
Automated Database Indexing using Model-free Reinforcement Learning
Gabriel Paludo Licks, Felipe Meneguzzi
Configuring databases for efficient querying is a complex task, often carried out by a database administrator. Solving the problem of building indexes that truly optimize database…
Visual Explanation for Identification of the Brain Bases for Dyslexia on fMRI Data
Laura Tomaz Da Silva, Nathalia Bianchini Esper, Duncan D. Ruiz +2
Brain imaging of mental health, neurodevelopmental and learning disorders has coupled with machine learning to identify patients based only on their brain activation, and ultimatel…
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…
Augmented Behavioral Cloning from Observation
Juarez Monteiro, Nathan Gavenski, Roger Granada +2
Imitation from observation is a computational technique that teaches an agent on how to mimic the behavior of an expert by observing only the sequence of states from the expert dem…
HAPRec: Hybrid Activity and Plan Recognizer
Roger Granada, Ramon Fraga Pereira, Juarez Monteiro +4
Computer-based assistants have recently attracted much interest due to its applicability to ambient assisted living. Such assistants have to detect and recognize the high-level act…
Landmark-Based Approaches for Goal Recognition as Planning
Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi
The task of recognizing goals and plans from missing and full observations can be done efficiently by using automated planning techniques. In many applications, it is important to…
Classifying Norm Conflicts using Learned Semantic Representations
João Paulo Aires, Roger Granada, Juarez Monteiro +2
While most social norms are informal, they are often formalized by companies in contracts to regulate trades of goods and services. When poorly written, contracts may contain norma…
An LP-Based Approach for Goal Recognition as Planning
Luísa R. de A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira +1
Goal recognition aims to recognize the set of candidate goals that are compatible with the observed behavior of an agent. In this paper, we develop a method based on the operator-c…
Using Sub-Optimal Plan Detection to Identify Commitment Abandonment in Discrete Environments
Ramon Fraga Pereira, Nir Oren, Felipe Meneguzzi
Assessing whether an agent has abandoned a goal or is actively pursuing it is important when multiple agents are trying to achieve joint goals, or when agents commit to achieving g…
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…
Heuristic Approaches for Goal Recognition in Incomplete Domain Models
Ramon Fraga Pereira, Felipe Meneguzzi
Recent approaches to goal recognition have progressively relaxed the assumptions about the amount and correctness of domain knowledge and available observations, yielding accurate…
Landmark-Based Plan Recognition
Ramon Fraga Pereira, Felipe Meneguzzi
Recognition of goals and plans using incomplete evidence from action execution can be done efficiently by using planning techniques. In many applications it is important to recogni…