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Doina Precup

McGill University, Mila- Quebec Artificial Intelligence Institute

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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Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks


Aug 20, 2020
Sitao Luan, Mingde Zhao, Xiao-Wen Chang, Doina Precup


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An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay


Jul 12, 2020
Scott Fujimoto, David Meger, Doina Precup


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A Brief Look at Generalization in Visual Meta-Reinforcement Learning


Jul 03, 2020
Safa Alver, Doina Precup

* Accepted to the 4th Lifelong Learning Workshop at ICML 2020 

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What can I do here? A Theory of Affordances in Reinforcement Learning


Jun 26, 2020
Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, David Abel, Doina Precup

* Thirty-seventh International Conference on Machine Learning (ICML 2020) 

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Learning to Prove from Synthetic Theorems


Jun 19, 2020
Eser Aygün, Zafarali Ahmed, Ankit Anand, Vlad Firoiu, Xavier Glorot, Laurent Orseau, Doina Precup, Shibl Mourad

* 17 pages, 6 figures, submitted to NeurIPS 2020 

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Learning to cooperate: Emergent communication in multi-agent navigation


Apr 02, 2020
Ivana Kajić, Eser Aygün, Doina Precup


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A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms


Mar 27, 2020
Philip Amortila, Doina Precup, Prakash Panangaden, Marc G. Bellemare

* AISTATS 2020 

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Interference and Generalization in Temporal Difference Learning


Mar 13, 2020
Emmanuel Bengio, Joelle Pineau, Doina Precup

* Submitted to ICML 2020. 20 pages, 14 figures 

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