44 citations · 46 across the 4 of their papers we have counts for
6 papers
Imitation Learning Datasets: A Toolkit For Creating Datasets, Training Agents and Benchmarking
Nathan Gavenski, Michael Luck, Odinaldo Rodrigues
Imitation learning field requires expert data to train agents in a task. Most often, this learning approach suffers from the absence of available data, which results in techniques…
Self-Supervised Adversarial Imitation Learning
Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi +1
Behavioural cloning is an imitation learning technique that teaches an agent how to behave via expert demonstrations. Recent approaches use self-supervision of fully-observable unl…
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey
Otávio Parraga, Martin D. More, Christian M. Oliveira +6
Despite being responsible for state-of-the-art results in several computer vision and natural language processing tasks, neural networks have faced harsh criticism due to some of t…
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…
Attention-based 3D Object Reconstruction from a Single Image
Andrey Salvi, Nathan Gavenski, Eduardo Pooch +2
Recently, learning-based approaches for 3D reconstruction from 2D images have gained popularity due to its modern applications, e.g., 3D printers, autonomous robots, self-driving c…
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…