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Model-Invariant State Abstractions for Model-Based Reinforcement Learning


Feb 19, 2021
Manan Tomar, Amy Zhang, Roberto Calandra, Matthew E. Taylor, Joelle Pineau


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Multi-Task Reinforcement Learning with Context-based Representations


Feb 11, 2021
Shagun Sodhani, Amy Zhang, Joelle Pineau

* Under Review 

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Automating Document Classification with Distant Supervision to Increase the Efficiency of Systematic Reviews


Dec 09, 2020
Xiaoxiao Li, Rabah Al-Zaidy, Amy Zhang, Stefan Baral, Le Bao, C. Lee Giles


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Intervention Design for Effective Sim2Real Transfer


Dec 03, 2020
Melissa Mozifian, Amy Zhang, Joelle Pineau, David Meger


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Multi-Task Reinforcement Learning as a Hidden-Parameter Block MDP


Jul 28, 2020
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau

* Accepted at the ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning. 21 pages, 12 figures 

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Learning Invariant Representations for Reinforcement Learning without Reconstruction


Jun 18, 2020
Amy Zhang, Rowan McAllister, Roberto Calandra, Yarin Gal, Sergey Levine


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Plan2Vec: Unsupervised Representation Learning by Latent Plans


May 07, 2020
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

* Proceedings of Machine Learning Research, the 2nd Annual Conference on Learning for Dynamics and Control (2020) Volume 120, 1-12 
* code available at https://geyang.github.io/plan2vec 

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Out-of-Distribution Generalization via Risk Extrapolation (REx)


Mar 13, 2020
David Krueger, Ethan Caballero, Joern-Henrik Jacobsen, Amy Zhang, Jonathan Binas, Remi Le Priol, Aaron Courville


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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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Stable Policy Optimization via Off-Policy Divergence Regularization


Mar 09, 2020
Ahmed Touati, Amy Zhang, Joelle Pineau, Pascal Vincent


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Improving Sample Efficiency in Model-Free Reinforcement Learning from Images


Oct 07, 2019
Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus


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Learning Causal State Representations of Partially Observable Environments


Jun 25, 2019
Amy Zhang, Zachary C. Lipton, Luis Pineda, Kamyar Azizzadenesheli, Anima Anandkumar, Laurent Itti, Joelle Pineau, Tommaso Furlanello

* 16 pages, 11 figures 

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Natural Environment Benchmarks for Reinforcement Learning


Nov 14, 2018
Amy Zhang, Yuxin Wu, Joelle Pineau

* 12 figures 

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A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning


Jun 25, 2018
Amy Zhang, Nicolas Ballas, Joelle Pineau

* 20 pages, 16 figures 

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Decoupling Dynamics and Reward for Transfer Learning


May 09, 2018
Amy Zhang, Harsh Satija, Joelle Pineau


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Composable Planning with Attributes


Mar 01, 2018
Amy Zhang, Adam Lerer, Sainbayar Sukhbaatar, Rob Fergus, Arthur Szlam


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Mapping the world population one building at a time


Dec 15, 2017
Tobias G. Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray, Brian Blankespoor, Espen B. Prydz, Hai-Anh H. Dang


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Building Detection from Satellite Images on a Global Scale


Jul 27, 2017
Amy Zhang, Xianming Liu, Andreas Gros, Tobias Tiecke


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Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation


Dec 08, 2016
Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang

* 9 pages, 4 figures 

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Guess Who Rated This Movie: Identifying Users Through Subspace Clustering


Aug 09, 2014
Amy Zhang, Nadia Fawaz, Stratis Ioannidis, Andrea Montanari

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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