引用次数
引用: 620
H-指数: 9
I10-指数 : 9
出版物: 15
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services
Ivo D Dinov Dinov , Franco Pestilli Pestilli , Daniel Bullock Bullock , Paolo Avesani Avesani
Scientific Data 6 ( 1) 69
30
2019
Discovery of Predictive Representations With a Network of General Value Functions
Adam White , Martha White , Matthew Schlegel , Andrew Patterson
2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Lei Le , Martha White , Andrew Patterson
neural information processing systems 31 107 -117
193
2018
Learning Macroscopic Brain Connectomes via Group-Sparse Factorization
Farzane Aminmansour , Andrew Patterson , Lei Le , Yisu Peng
neural information processing systems 32 8847 -8857
2019
Gradient Temporal-Difference Learning with Regularized Corrections
Adam White , Martha White , Sina Ghiassian , Andrew Patterson
international conference on machine learning 1 3524 -3534
3
2020
Organizing Experience: a Deeper Look at Replay Mechanisms for Sample-Based Planning in Continuous State Domains
Yangchen Pan , Zaheer Abbas , Adam White , Andrew Patterson
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence 4794 -4800
49
2018
Robust losses for learning value functions
Andrew Patterson , Victor Liao , Martha White
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 ( 5) 6157 -6167
1
2022
Online off-policy prediction
Sina Ghiassian , Andrew Patterson , Martha White , Richard S Sutton
arXiv preprint arXiv:1811.02597
30
2018
A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
Andrew Patterson , Adam White , Martha White ,
Journal of Machine Learning Research
16
2022
Empirical Design in Reinforcement Learning
Andrew Patterson , Samuel Neumann , Martha White , Adam White
arXiv preprint arXiv:2304.01315
11
2023
General value function networks
Matthew Schlegel , Andrew Jacobsen , Zaheer Abbas , Andrew Patterson
arXiv preprint arXiv:1807.06763
42
2018
A temporal-difference approach to policy gradient estimation
Samuele Tosatto , Andrew Patterson , Martha White , A Rupam Mahmood
(ICML) The 39th International Conference on Machine Learning
3
2022
A Gradient Critic for Policy Gradient Estimation
Samuele Tosatto , Andrew Patterson , Martha White , A Rupam Mahmood
Sixteenth European Workshop on Reinforcement Learning
1
2023
When is Offline Policy Selection Sample Efficient for Reinforcement Learning?
Vincent Liu , Prabhat Nagarajan , Andrew Patterson , Martha White
arXiv preprint arXiv:2312.02355
2023
The cross-environment hyperparameter setting benchmark for reinforcement learning
Andrew Patterson , Samuel Neumann , Raksha Kumaraswamy , Martha White
2
2023
Martha White Adam White Lei Le Cesar F. Caiafa Franco Pestilli Zaheer Abbas Sina Ghiassian Matthew Kyle Schlegel Soichi Hayashi Paolo Avesani Eleftherios Garyfallidis Lindsey Kitchell Robert Henschel Brent McPherson Yangchen Pan Dhawal Gupta Andrew Jacobsen Richard S. Sutton Victor Liao Samuele Tosatto