no code implementations • 30 Apr 2024 • Nathan Gavenski, Odinaldo Rodrigues, Michael Luck
Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it.
1 code implementation • 1 Mar 2024 • Nathan Gavenski, Michael Luck, Odinaldo Rodrigues
Imitation learning field requires expert data to train agents in a task.
2 code implementations • 21 Apr 2023 • Juarez Monteiro, Nathan Gavenski, Felipe Meneguzzi, Rodrigo C. Barros
We address this limitation by incorporating a discriminator into the original framework, offering two key advantages and directly solving a learning problem previous work had.
2 code implementations • 13 Aug 2020 • Nathan Gavenski, Juarez Monteiro, Roger Granada, Felipe Meneguzzi, Rodrigo C. Barros
Behavioral cloning is an imitation learning technique that teaches an agent how to behave through expert demonstrations.
no code implementations • 11 Aug 2020 • Andrey Salvi, Nathan Gavenski, Eduardo Pooch, Felipe Tasoniero, Rodrigo Barros
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 cars, virtual reality, and augmented reality.
3D Object Reconstruction From A Single Image 3D Reconstruction +2
2 code implementations • 28 Apr 2020 • Juarez Monteiro, Nathan Gavenski, Roger Granada, Felipe Meneguzzi, Rodrigo Barros
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 demonstrations.