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RandomNet: Towards Fully Automatic Neural Architecture Design for Multimodal Learning


Mar 02, 2020
Stefano Alletto, Shenyang Huang, Vincent Francois-Lavet, Yohei Nakata, Guillaume Rabusseau

* 6 pages, 1 figures 

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An Introduction to Deep Reinforcement Learning


Dec 03, 2018
Vincent Francois-Lavet, Peter Henderson, Riashat Islam, Marc G. Bellemare, Joelle Pineau

* Foundations and Trends in Machine Learning: Vol. 11, No. 3-4, 2018 

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Reward Estimation for Variance Reduction in Deep Reinforcement Learning


May 09, 2018
Joshua Romoff, Alexandre Piché, Peter Henderson, Vincent Francois-Lavet, Joelle Pineau

* Accepted to the International Conference on Learning Representations (ICLR) 2018 Workshop Track 

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On overfitting and asymptotic bias in batch reinforcement learning with partial observability


Sep 22, 2017
Vincent Francois-Lavet, Damien Ernst, Raphael Fonteneau


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