Andrew Patterson
Title
Cited by
Cited by
Year
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
L Le, A Patterson, M White
Advances in neural information processing systems 31, 107-117, 2018
602018
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
P Avesani, B McPherson, S Hayashi, CF Caiafa, R Henschel, ...
Scientific data 6 (1), 1-13, 2019
232019
Organizing experience: a deeper look at replay mechanisms for sample-based planning in continuous state domains
Y Pan, M Zaheer, A White, A Patterson, M White
International Joint Conference on Artificial Intelligence, 2018
232018
Online off-policy prediction
S Ghiassian, A Patterson, M White, RS Sutton, A White
arXiv preprint arXiv:1811.02597, 2018
122018
General value function networks
M Schlegel, A Jacobsen, M Zaheer, A Patterson, A White, M White
arXiv preprint arXiv:1807.06763, 2018
82018
Gradient Temporal-Difference Learning with Regularized Corrections
S Ghiassian, A Patterson, S Garg, D Gupta, A White, M White
International Conference on Machine Learning, 2020
12020
Investigating Objectives for Off-policy Value Estimation in Reinforcement Learning
A Patterson, S Ghiassian, A White, M White
12020
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization.
F Aminmansour, A Patterson, L Le, Y Peng, D Mitchell, F Pestilli, ...
NeurIPS, 8847-8857, 2019
12019
Discovery of Predictive Representations With a Network of General Value Functions
M Schlegel, A Patterson, A White, M White
2018
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Articles 1–9