引用次数
引用: 3,980
H-指数: 25
I10-指数 : 35
出版物: 78
How hard is my MDP?" The distribution-norm to the rescue"
Odalric-Ambrym Maillard , Timothy A Mann , Shie Mannor
neural information processing systems 27 1835 -1843
54
2014
Neural conduction delay forces the emergence of predictive function in simulated evolution
Timothy A Mann , Yoonsuck Choe
BMC Neuroscience 11 ( 1) 62
2
2010
Data augmentation can improve robustness
Sylvestre-Alvise Rebuffi , Sven Gowal , Dan Andrei Calian , Florian Stimberg
Advances in Neural Information Processing Systems 34 29935 -29948
66
2021
Improving robustness using generated data
Sven Gowal , Sylvestre-Alvise Rebuffi , Olivia Wiles , Florian Stimberg
Advances in Neural Information Processing Systems 34 4218 -4233
84
2021
Learning from Delayed Outcomes with Intermediate Observations
Timothy A Mann , Sven Gowal , Ray Jiang , Huiyi Hu
arXiv preprint arXiv:1807.09387
10
2018
Optimizing Slate Recommendations via Slate-CVAE
Ray Jiang , Sven Gowal , Timothy A Mann , Danilo J Rezende
arXiv preprint arXiv:1803.01682
4
2018
Directed exploration in reinforcement learning with transferred knowledge
Timothy A Mann , Yoonsuck Choe
European Workshop on Reinforcement Learning 59 -76
31
2013
Autonomous and interactive improvement of binocular visual depth estimation through sensorimotor interaction
Timothy A Mann , Yunjung Park , Sungmoon Jeong , Minho Lee
IEEE Transactions on Autonomous Mental Development 5 ( 1) 74 -84
12
2012
Evolution of time in neural networks: from the present to the past, and forward to the future
Ji Ryang Chung , Jaerock Kwon , Timothy A Mann , Yoonsuck Choe
The relevance of the time domain to neural network models 99 -115
8
2012
Proactive learning mechanism of sensory perception and behavior generation for an autonomous robot
Sungmoon Jeong , Yunjung Park , Minho Lee , Timothy A Mann
Adaptive lambda least-squares temporal difference learning
Timothy A Mann , Hugo Penedones , Shie Mannor , Todd Hester
arXiv preprint arXiv:1612.09465
14
2016
Iterative hierarchical optimization for misspecified problems (ihomp)
Daniel J Mankowitz , Timothy A Mann , Shie Mannor
arXiv preprint arXiv:1602.03348
11
2016
The advantage of planning with options
Timothy A Mann , Shie Mannor
RLDM 2013 9 -9
7
2013
Bootstrapping skills
Daniel J Mankowitz , Timothy A Mann , Shie Mannor
arXiv preprint arXiv:1506.03624
3
2015
Actively learning to attract followers on Twitter
Nir Levine , Timothy A Mann , Shie Mannor
arXiv preprint arXiv:1504.04114
3
2015
Non-Stationary Bandits with Intermediate Observations.
Claire Vernade , András György , Timothy A Mann
CoRR
2020
Iterative Hierarchical Optimization for Misspecified Problems
Daniel J Mankowitz , Timothy A Mann , Shie Mannor
Supplementary Material: Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
Timothy A Mann , Shie Mannor
Defending Against Image Corruptions Through Adversarial Augmentations
Dan Andrei Calian , Florian Stimberg , Olivia Wiles , Sylvestre-Alvise Rebuffi
International Conference on Learning Representations
2021
Proactive learning mechanism of sensory perception and behavior generation for an autonomous robot
Sungmoon Jeong , Yunjung Park , Minho Lee , Timothy A Mann
2012