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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 Ayg√ľn, 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 Kajińá, Eser Ayg√ľn, 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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Invariant Causal Prediction for Block MDPs

Mar 12, 2020
Amy Zhang, Clare Lyle, Shagun Sodhani, Angelos Filos, Marta Kwiatkowska, Joelle Pineau, Yarin Gal, Doina Precup

* 16 pages, 8 figures 

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Policy Evaluation Networks

Feb 26, 2020
Jean Harb, Tom Schaul, Doina Precup, Pierre-Luc Bacon

* 12 pages, 11 figures 

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oIRL: Robust Adversarial Inverse Reinforcement Learning with Temporally Extended Actions

Feb 20, 2020
David Venuto, Jhelum Chakravorty, Leonard Boussioux, Junhao Wang, Gavin McCracken, Doina Precup


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Value-driven Hindsight Modelling

Feb 19, 2020
Arthur Guez, Fabio Viola, Théophane Weber, Lars Buesing, Steven Kapturowski, Doina Precup, David Silver, Nicolas Heess

* 8 pages + reference + appendix 

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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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Option-critic in cooperative multi-agent systems

Jan 06, 2020
Jhelum Chakravorty, Nadeem Ward, Julien Roy, Maxime Chevalier-Boisvert, Sumana Basu, Andrei Lupu, Doina Precup


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Options of Interest: Temporal Abstraction with Interest Functions

Jan 01, 2020
Khimya Khetarpal, Martin Klissarov, Maxime Chevalier-Boisvert, Pierre-Luc Bacon, Doina Precup

* To appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 

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Shaping representations through communication: community size effect in artificial learning systems

Dec 12, 2019
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, Doina Precup

* NeurIPS 2019 workshop on visually grounded interaction and language 

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Marginalized State Distribution Entropy Regularization in Policy Optimization

Dec 11, 2019
Riashat Islam, Zafarali Ahmed, Doina Precup

* In Submission; Appeared at NeurIPS 2019 Deep Reinforcement Learning Workshop 

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Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning

Dec 11, 2019
Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup

* In Submission; Appeared at NeurIPS 2019 Workshop on Safety and Robustness in Decision Making 

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Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods

Dec 11, 2019
Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup

* In Submission; Appeared at NeurIPS 2019 Optimization Foundations of Reinforcement Learning Workshop 

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Hindsight Credit Assignment

Dec 05, 2019
Anna Harutyunyan, Will Dabney, Thomas Mesnard, Mohammad Azar, Bilal Piot, Nicolas Heess, Hado van Hasselt, Greg Wayne, Satinder Singh, Doina Precup, Remi Munos

* NeurIPS 2019 

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Algorithmic Improvements for Deep Reinforcement Learning applied to Interactive Fiction

Nov 28, 2019
Vishal Jain, William Fedus, Hugo Larochelle, Doina Precup, Marc G. Bellemare

* To appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Accepted for Oral presentation 

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Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning

Nov 22, 2019
Tianyu Li, Bogdan Mazoure, Doina Precup, Guillaume Rabusseau


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Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments

Oct 29, 2019
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira E. Kahou, Joseph P. Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal

* Accepted at CoRL2019. Code & video available at https://mweiss17.github.io/SEVN/ 

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Actor Critic with Differentially Private Critic

Oct 14, 2019
Jonathan Lebensold, William Hamilton, Borja Balle, Doina Precup

* 6 Pages, Presented at the Privacy in Machine Learning Workshop, NeurIPS 2019 

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Augmenting learning using symmetry in a biologically-inspired domain

Oct 01, 2019
Shruti Mishra, Abbas Abdolmaleki, Arthur Guez, Piotr Trochim, Doina Precup


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Avoidance Learning Using Observational Reinforcement Learning

Sep 24, 2019
David Venuto, Leonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup


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Revisit Policy Optimization in Matrix Form

Sep 19, 2019
Sitao Luan, Xiao-Wen Chang, Doina Precup


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An Empirical Study of Batch Normalization and Group Normalization in Conditional Computation

Jul 31, 2019
Vincent Michalski, Vikram Voleti, Samira Ebrahimi Kahou, Anthony Ortiz, Pascal Vincent, Chris Pal, Doina Precup


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