13 citations · 13 across the 3 of their papers we have counts for
3 papers
APART: Diverse Skill Discovery using All Pairs with Ascending Reward and DropouT
Hadar Schreiber Galler, Tom Zahavy, Guillaume Desjardins +1
We study diverse skill discovery in reward-free environments, aiming to discover all possible skills in simple grid-world environments where prior methods have struggled to succeed…
Deep Tempering
Guillaume Desjardins, Heng Luo, Aaron Courville +1
Restricted Boltzmann Machines (RBMs) are one of the fundamental building blocks of deep learning. Approximate maximum likelihood training of RBMs typically necessitates sampling fr…
On Training Deep Boltzmann Machines
Guillaume Desjardins, Aaron Courville, Yoshua Bengio
The deep Boltzmann machine (DBM) has been an important development in the quest for powerful "deep" probabilistic models. To date, simultaneous or joint training of all layers of t…