Mann, Timothy

11 publications

ICLR 2021 Balancing Constraints and Rewards with Meta-Gradient D4PG Dan A. Calian, Daniel J Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy Mann

ICLR 2021 Self-Supervised Adversarial Robustness for the Low-Label, High-Data Regime Sven Gowal, Po-Sen Huang, Aaron van den Oord, Timothy Mann, Pushmeet Kohli

CVPR 2020 Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal, Chongli Qin, Po-Sen Huang, Taylan Cemgil, Krishnamurthy Dvijotham, Timothy Mann, Pushmeet Kohli

ICML 2020 Non-Stationary Delayed Bandits with Intermediate Observations Claire Vernade, Andras Gyorgy, Timothy Mann

ICLR 2020 Robust Reinforcement Learning for Continuous Control with Model Misspecification Daniel J. Mankowitz, Nir Levine, Rae Jeong, Yuanyuan Shi, Jackie Kay, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy Mann, Todd Hester, Martin Riedmiller

UAI 2019 A Bayesian Approach to Robust Reinforcement Learning Esther Derman, Daniel Mankowitz, Timothy Mann, Shie Mannor

ICLR 2019 Beyond Greedy Ranking: Slate Optimization via List-CVAE Ray Jiang, Sven Gowal, Yuqiu Qian, Timothy Mann, Danilo J. Rezende

ICCV 2019 Scalable Verified Training for Provably Robust Image Classification Sven Gowal, Krishnamurthy Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin, Jonathan Uesato, Relja Arandjelovic, Timothy Mann, Pushmeet Kohli

ICML 2015 Off-Policy Model-Based Learning Under Unknown Factored Dynamics Assaf Hallak, Francois Schnitzler, Timothy Mann, Shie Mannor

ICML 2014 Scaling up Approximate Value Iteration with Options: Better Policies with Fewer Iterations Timothy Mann, Shie Mannor

ICML 2014 Time-Regularized Interrupting Options (TRIO) Timothy Mann, Daniel Mankowitz, Shie Mannor