Kyle Goyette

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 5

Top Topics

Reinforcement Learning

Top Venues

Publications

Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie
Untangling tradeoffs between recurrence and self-attention in neural networks. CoRR (2020)
Giancarlo Kerg, Bhargav Kanuparthi, Anirudh Goyal, Kyle Goyette, Yoshua Bengio, Guillaume Lajoie
Untangling tradeoffs between recurrence and self-attention in artificial neural networks. NeurIPS (2020)
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. CoRR (2019)
Giancarlo Kerg, Kyle Goyette, Maximilian Puelma Touzel, Gauthier Gidel, Eugene Vorontsov, Yoshua Bengio, Guillaume Lajoie
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. NeurIPS (2019)
Sai Krishna G. V., Kyle Goyette, Ahmad Chamseddine, Breandan Considine
Deep Pepper: Expert Iteration based Chess agent in the Reinforcement Learning Setting. CoRR (2018)