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Domain Adversarial Reinforcement Learning


Feb 14, 2021
Bonnie Li, Vincent François-Lavet, Thang Doan, Joelle Pineau


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Regularized Inverse Reinforcement Learning


Oct 07, 2020
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau

* 22 pages, 7 figures 

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A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix


Oct 07, 2020
Thang Doan, Mehdi Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier


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Deep Reinforcement and InfoMax Learning


Jun 12, 2020
Bogdan Mazoure, Remi Tachet des Combes, Thang Doan, Philip Bachman, R Devon Hjelm


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Provably efficient reconstruction of policy networks


Feb 07, 2020
Bogdan Mazoure, Thang Doan, Tianyu Li, Vladimir Makarenkov, Joelle Pineau, Doina Precup, Guillaume Rabusseau


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Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning


Sep 24, 2019
Thang Doan, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R Devon Hjelm


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Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning


Jul 05, 2019
Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup

* Preprint; Under Review 

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Leveraging exploration in off-policy algorithms via normalizing flows


May 16, 2019
Bogdan Mazoure, Thang Doan, Audrey Durand, R Devon Hjelm, Joelle Pineau


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Multi-objective training of Generative Adversarial Networks with multiple discriminators


Jan 24, 2019
Isabela Albuquerque, João Monteiro, Thang Doan, Breandan Considine, Tiago Falk, Ioannis Mitliagkas

* The first two authors contributed equally to this work 

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Generating Realistic Sequences of Customer-level Transactions for Retail Datasets


Jan 17, 2019
Thang Doan, Neil Veira, Brian Keng

* Published at IEEE ICDM Workshop on Data Mining for Services 2018 

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On-line Adaptative Curriculum Learning for GANs


Sep 12, 2018
Thang Doan, Joao Monteiro, Isabela Albuquerque, Bogdan Mazoure, Audrey Durand, Joelle Pineau, R Devon Hjelm


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GAN Q-learning


Jul 20, 2018
Thang Doan, Bogdan Mazoure, Clare Lyle


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Bayesian Policy Gradients via Alpha Divergence Dropout Inference


Dec 06, 2017
Peter Henderson, Thang Doan, Riashat Islam, David Meger

* Accepted to Bayesian Deep Learning Workshop at NIPS 2017 

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