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Data Augmentation Can Improve Robustness


Nov 09, 2021
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann

* Accepted at NeurIPS 2021. arXiv admin note: substantial text overlap with arXiv:2103.01946; text overlap with arXiv:2110.09468 

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Improving Robustness using Generated Data


Oct 18, 2021
Sven Gowal, Sylvestre-Alvise Rebuffi, Olivia Wiles, Florian Stimberg, Dan Andrei Calian, Timothy Mann

* Accepted at NeurIPS 2021 

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Defending Against Image Corruptions Through Adversarial Augmentations


Apr 20, 2021
Dan A. Calian, Florian Stimberg, Olivia Wiles, Sylvestre-Alvise Rebuffi, Andras Gyorgy, Timothy Mann, Sven Gowal


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Fixing Data Augmentation to Improve Adversarial Robustness


Mar 02, 2021
Sylvestre-Alvise Rebuffi, Sven Gowal, Dan A. Calian, Florian Stimberg, Olivia Wiles, Timothy Mann


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Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples


Oct 27, 2020
Sven Gowal, Chongli Qin, Jonathan Uesato, Timothy Mann, Pushmeet Kohli


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Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification


Oct 20, 2020
Daniel J. Mankowitz, Dan A. Calian, Rae Jeong, Cosmin Paduraru, Nicolas Heess, Sumanth Dathathri, Martin Riedmiller, Timothy Mann


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Balancing Constraints and Rewards with Meta-Gradient D4PG


Oct 13, 2020
Dan A. Calian, Daniel J. Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy Mann


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Non-Stationary Bandits with Intermediate Observations


Jun 03, 2020
Claire Vernade, Andras Gyorgy, Timothy Mann

* 18 pages, 17 figures, ICML 2020 

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Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations


Dec 06, 2019
Sven Gowal, Chongli Qin, Po-Sen Huang, Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli


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An Alternative Surrogate Loss for PGD-based Adversarial Testing


Oct 21, 2019
Sven Gowal, Jonathan Uesato, Chongli Qin, Po-Sen Huang, Timothy Mann, Pushmeet Kohli


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Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates


Jun 19, 2019
Hugo Penedones, Carlos Riquelme, Damien Vincent, Hartmut Maennel, Timothy Mann, Andre Barreto, Sylvain Gelly, Gergely Neu


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Robust Reinforcement Learning for Continuous Control with Model Misspecification


Jun 18, 2019
Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy Mann, Todd Hester, Martin Riedmiller


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A Bayesian Approach to Robust Reinforcement Learning


May 20, 2019
Esther Derman, Daniel Mankowitz, Timothy Mann, Shie Mannor

* Accepted to UAI 2019 

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On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models


Nov 05, 2018
Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Mann, Pushmeet Kohli


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A Dual Approach to Scalable Verification of Deep Networks


Aug 03, 2018
Krishnamurthy, Dvijotham, Robert Stanforth, Sven Gowal, Timothy Mann, Pushmeet Kohli


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Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem


Jul 09, 2018
Hugo Penedones, Damien Vincent, Hartmut Maennel, Sylvain Gelly, Timothy Mann, Andre Barreto


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Deep Reinforcement Learning in Large Discrete Action Spaces


Apr 04, 2016
Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin


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Off-policy evaluation for MDPs with unknown structure


Feb 11, 2015
Assaf Hallak, François Schnitzler, Timothy Mann, Shie Mannor


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