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Doina Precup

McGill University, Mila- Quebec Artificial Intelligence Institute

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?


Sep 12, 2021
Sitao Luan, Chenqing Hua, Qincheng Lu, Jiaqi Zhu, Mingde Zhao, Shuyuan Zhang, Xiao-Wen Chang, Doina Precup


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Where Did You Learn That From? Surprising Effectiveness of Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning


Sep 08, 2021
Maziar Gomrokchi, Susan Amin, Hossein Aboutalebi, Alexander Wong, Doina Precup


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A Survey of Exploration Methods in Reinforcement Learning


Sep 02, 2021
Susan Amin, Maziar Gomrokchi, Harsh Satija, Herke van Hoof, Doina Precup


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Policy Gradients Incorporating the Future


Aug 11, 2021
David Venuto, Elaine Lau, Doina Precup, Ofir Nachum


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Temporally Abstract Partial Models


Aug 06, 2021
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup

* 34 pages, 5 figures 

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The Option Keyboard: Combining Skills in Reinforcement Learning


Jun 24, 2021
André Barreto, Diana Borsa, Shaobo Hou, Gheorghe Comanici, Eser Aygün, Philippe Hamel, Daniel Toyama, Jonathan Hunt, Shibl Mourad, David Silver, Doina Precup

* Published at NeurIPS 2019 

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Randomized Exploration for Reinforcement Learning with General Value Function Approximation


Jun 15, 2021
Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang

* 32 page, 5 figures, in Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 

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A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation


Jun 12, 2021
Scott Fujimoto, David Meger, Doina Precup

* ICML 2021 

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Preferential Temporal Difference Learning


Jun 11, 2021
Nishanth Anand, Doina Precup

* Accepted at the 38th International Conference on Machine Learning (ICML, 2021) 

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Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation


Jun 08, 2021
Emmanuel Bengio, Moksh Jain, Maksym Korablyov, Doina Precup, Yoshua Bengio

* Submitted to NeurIPS 2021 

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Correcting Momentum in Temporal Difference Learning


Jun 07, 2021
Emmanuel Bengio, Joelle Pineau, Doina Precup

* NeurIPS Deep RL Workshop 2020 

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A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning


Jun 03, 2021
Mingde Zhao, Zhen Liu, Sitao Luan, Shuyuan Zhang, Doina Precup, Yoshua Bengio


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Improving Long-Term Metrics in Recommendation Systems using Short-Horizon Offline RL


Jun 01, 2021
Bogdan Mazoure, Paul Mineiro, Pavithra Srinath, Reza Sharifi Sedeh, Doina Precup, Adith Swaminathan


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AndroidEnv: A Reinforcement Learning Platform for Android


May 27, 2021
Daniel Toyama, Philippe Hamel, Anita Gergely, Gheorghe Comanici, Amelia Glaese, Zafarali Ahmed, Tyler Jackson, Shibl Mourad, Doina Precup


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What is Going on Inside Recurrent Meta Reinforcement Learning Agents?


Apr 29, 2021
Safa Alver, Doina Precup

* Accepted to the Never-Ending Reinforcement Learning Workshop at ICLR 2021 

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Training a First-Order Theorem Prover from Synthetic Data


Mar 05, 2021
Vlad Firoiu, Eser Aygun, Ankit Anand, Zafarali Ahmed, Xavier Glorot, Laurent Orseau, Lei Zhang, Doina Precup, Shibl Mourad


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Variance Penalized On-Policy and Off-Policy Actor-Critic


Feb 03, 2021
Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup

* Accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), 2021 

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Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards


Dec 26, 2020
Susan Amin, Maziar Gomrokchi, Hossein Aboutalebi, Harsh Satija, Doina Precup


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Towards Continual Reinforcement Learning: A Review and Perspectives


Dec 25, 2020
Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup

* Preprint, 52 pages, 8 figures 

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Gradient Starvation: A Learning Proclivity in Neural Networks


Nov 23, 2020
Mohammad Pezeshki, Sékou-Oumar Kaba, Yoshua Bengio, Aaron Courville, Doina Precup, Guillaume Lajoie


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Diversity-Enriched Option-Critic


Nov 04, 2020
Anand Kamat, Doina Precup


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A Study of Policy Gradient on a Class of Exactly Solvable Models


Nov 03, 2020
Gavin McCracken, Colin Daniels, Rosie Zhao, Anna Brandenberger, Prakash Panangaden, Doina Precup


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Forethought and Hindsight in Credit Assignment


Oct 26, 2020
Veronica Chelu, Doina Precup, Hado van Hasselt


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Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning


Oct 19, 2020
Tianyu Li, Doina Precup, Guillaume Rabusseau

* Extended version of AISTATS paper (arXiv:1807.01406) Preprint (under review). arXiv admin note: text overlap with arXiv:1807.01406 

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A Fully Tensorized Recurrent Neural Network


Oct 13, 2020
Charles C. Onu, Jacob E. Miller, Doina Precup


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Reward Propagation Using Graph Convolutional Networks


Oct 06, 2020
Martin Klissarov, Doina Precup


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Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Networks


Sep 15, 2020
Sitao Luan, Mingde Zhao, Chenqing Hua, Xiao-Wen Chang, Doina Precup


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