no code implementations • 21 Oct 2022 • Alexandre Piche, Valentin Thomas, Joseph Marino, Rafael Pardinas, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
However, learning the value function via bootstrapping often leads to unstable training due to fast-changing target values.
no code implementations • 21 Oct 2022 • Alexandre Piche, Rafael Pardinas, David Vazquez, Igor Mordatch, Chris Pal
Despite the benefits of using implicit models to learn robotic skills via BC, offline RL via Supervised Learning algorithms have been limited to explicit models.
1 code implementation • 4 Jun 2021 • Alexandre Piché, Valentin Thomas, Rafael Pardinas, Joseph Marino, Gian Maria Marconi, Christopher Pal, Mohammad Emtiyaz Khan
Our findings emphasize that Functional Regularization can be used as a drop-in replacement for Target Networks and result in performance improvement.
1 code implementation • 3 Jul 2020 • Issam H. Laradji, Rafael Pardinas, Pau Rodriguez, David Vazquez
For localization, LOOC achieves a strong new baseline in the novel problem setup where only count supervision is available.
no code implementations • 1 Apr 2020 • Lachlan Kermode, Jan Freyberg, Alican Akturk, Robert Trafford, Denis Kochetkov, Rafael Pardinas, Eyal Weizman, Julien Cornebise
We introduce a machine learning workflow to search for, identify, and meaningfully triage videos and images of munitions, weapons, and military equipment, even when limited training data exists for the object of interest.