Timothy A. Mann

Affiliations:
  • Google DeepMind, London, UK


According to our database1, Timothy A. Mann authored at least 47 papers between 2008 and 2022.

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Bibliography

2022
MuZero with Self-competition for Rate Control in VP9 Video Compression.
CoRR, 2022

Defending Against Image Corruptions Through Adversarial Augmentations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Fixing Data Augmentation to Improve Adversarial Robustness.
CoRR, 2021

Data Augmentation Can Improve Robustness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Improving Robustness using Generated Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Self-supervised Adversarial Robustness for the Low-label, High-data Regime.
Proceedings of the 9th International Conference on Learning Representations, 2021

Balancing Constraints and Rewards with Meta-Gradient D4PG.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification.
CoRR, 2020

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples.
CoRR, 2020

Non-Stationary Bandits with Intermediate Observations.
CoRR, 2020

The NodeHopper: Enabling Low Latency Ranking with Constraints via a Fast Dual Solver.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Non-Stationary Delayed Bandits with Intermediate Observations.
Proceedings of the 37th International Conference on Machine Learning, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.
Proceedings of the 8th International Conference on Learning Representations, 2020

Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing.
CoRR, 2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification.
CoRR, 2019

A Bayesian Approach to Robust Reinforcement Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Adaptive Temporal-Difference Learning for Policy Evaluation with Per-State Uncertainty Estimates.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Dual Approach to Verify and Train Deep Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems.
Proceedings of the 36th International Conference on Machine Learning, 2019

Beyond Greedy Ranking: Slate Optimization via List-CVAE.
Proceedings of the 7th International Conference on Learning Representations, 2019

Scalable Verified Training for Provably Robust Image Classification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.
CoRR, 2018

Learning from Delayed Outcomes with Intermediate Observations.
CoRR, 2018

Temporal Difference Learning with Neural Networks - Study of the Leakage Propagation Problem.
CoRR, 2018

Optimizing Slate Recommendations via Slate-CVAE.
CoRR, 2018

A Dual Approach to Scalable Verification of Deep Networks.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Soft-Robust Actor-Critic Policy-Gradient.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Learning Robust Options.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Approximate Value Iteration with Temporally Extended Actions (Extended Abstract).
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Adaptive Lambda Least-Squares Temporal Difference Learning.
CoRR, 2016

Iterative Hierarchical Optimization for Misspecified Problems (IHOMP).
CoRR, 2016

Adaptive Skills Adaptive Partitions (ASAP).
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Approximate Value Iteration with Temporally Extended Actions.
J. Artif. Intell. Res., 2015

Bootstrapping Skills.
CoRR, 2015

Actively Learning to Attract Followers on Twitter.
CoRR, 2015

Off-policy evaluation for MDPs with unknown structure.
CoRR, 2015

Off-policy Model-based Learning under Unknown Factored Dynamics.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Learning When to Switch between Skills in a High Dimensional Domain.
Proceedings of the Learning for General Competency in Video Games, 2015

2014
How hard is my MDP?" The distribution-norm to the rescue".
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Time-Regularized Interrupting Options (TRIO).
Proceedings of the 31th International Conference on Machine Learning, 2014

Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Autonomous and Interactive Improvement of Binocular Visual Depth Estimation through Sensorimotor Interaction.
IEEE Trans. Auton. Ment. Dev., 2013

2012
Directed Exploration in Reinforcement Learning with Transferred Knowledge.
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012

2011
Scaling Up Reinforcement Learning through Targeted Exploration.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Prenatal to postnatal transfer of motor skills through motor-compatible sensory representations.
Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2008
Effects of Varying the Delay Distribution in Random, Scale-free, and Small-world Networks.
Proceedings of the 2008 IEEE International Conference on Granular Computing, 2008


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