44 citations · 46 across the 4 of their papers we have counts for
4 papers · 1 filter
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…