Timothy A Mann
Title
Cited by
Cited by
Year
A Dual Approach to Scalable Verification of Deep Networks.
K Dvijotham, R Stanforth, S Gowal, TA Mann, P Kohli
UAI 1 (2), 3, 2018
2012018
Deep reinforcement learning in large discrete action spaces
G Dulac-Arnold, R Evans, H van Hasselt, P Sunehag, T Lillicrap, J Hunt, ...
arXiv preprint arXiv:1512.07679, 2015
1952015
On the effectiveness of interval bound propagation for training verifiably robust models
S Gowal, K Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
arXiv preprint arXiv:1810.12715, 2018
1472018
Scaling up approximate value iteration with options: Better policies with fewer iterations
T Mann, S Mannor
International conference on machine learning, 127-135, 2014
432014
Adaptive skills, adaptive partitions (ASAP)
DJ Mankowitz, TA Mann, S Mannor
arXiv preprint arXiv:1602.03351, 2016
422016
Time regularized interrupting options
DJ Mankowitz, TA Mann, S Mannor
Internation Conference on Machine Learning, 2014
38*2014
Approximate Value Iteration with Temporally Extended Actions
SMDP Timothy A. Mann
Journal of Artificial Intelligence Research 53, 375-438, 2015
372015
How hard is my MDP?" The distribution-norm to the rescue"
OA Maillard, TA Mann, S Mannor
Advances in Neural Information Processing Systems 27, 1835-1843, 2014
352014
Off-policy model-based learning under unknown factored dynamics
A Hallak, F Schnitzler, T Mann, S Mannor
International Conference on Machine Learning, 711-719, 2015
262015
An alternative surrogate loss for pgd-based adversarial testing
S Gowal, J Uesato, C Qin, PS Huang, T Mann, P Kohli
arXiv preprint arXiv:1910.09338, 2019
242019
Learning robust options
D Mankowitz, T Mann, PL Bacon, D Precup, S Mannor
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
212018
Robust reinforcement learning for continuous control with model misspecification
DJ Mankowitz, N Levine, R Jeong, Y Shi, J Kay, A Abdolmaleki, ...
arXiv preprint arXiv:1906.07516, 2019
182019
Scalable verified training for provably robust image classification
S Gowal, KD Dvijotham, R Stanforth, R Bunel, C Qin, J Uesato, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
182019
Beyond greedy ranking: Slate optimization via list-CVAE
R Jiang, S Gowal, TA Mann, DJ Rezende
arXiv preprint arXiv:1803.01682, 2018
182018
Soft-robust actor-critic policy-gradient
E Derman, DJ Mankowitz, TA Mann, S Mannor
arXiv preprint arXiv:1803.04848, 2018
172018
Directed exploration in reinforcement learning with transferred knowledge
TA Mann, Y Choe
European Workshop on Reinforcement Learning, 59-76, 2013
162013
Achieving robustness in the wild via adversarial mixing with disentangled representations
S Gowal, C Qin, PS Huang, T Cemgil, K Dvijotham, T Mann, P Kohli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
112020
Adaptive lambda least-squares temporal difference learning
TA Mann, H Penedones, S Mannor, T Hester
arXiv preprint arXiv:1612.09465, 2016
112016
Autonomous and interactive improvement of binocular visual depth estimation through sensorimotor interaction
TA Mann, Y Park, S Jeong, M Lee, Y Choe
IEEE Transactions on Autonomous Mental Development 5 (1), 74-84, 2012
102012
A bayesian approach to robust reinforcement learning
E Derman, D Mankowitz, T Mann, S Mannor
Uncertainty in Artificial Intelligence, 648-658, 2020
92020
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Articles 1–20