引用次数
引用: 4,067
H-指数: 32
I10-指数 : 60
出版物: 191
Emphatic Temporal-Difference Learning.
Ashique Rupam Mahmood , Richard S. Sutton , Martha White , Huizhen Yu
arXiv: Learning
23
2015
An emphatic approach to the problem of off-policy temporal-difference learning
Richard S. Sutton , A. Rupam Mahmood , Martha White
Journal of Machine Learning Research 17 ( 1) 2603 -2631
95
2016
Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains
Adam White , Martha White
neural information processing systems 23 2433 -2441
22
2010
Generalized Optimal Reverse Prediction
Dale Schuurmans , Martha White
international conference on artificial intelligence and statistics 1305 -1313
5
2012
Learning a value analysis tool for agent evaluation
Michael Bowling , Martha White
international joint conference on artificial intelligence 1976 -1981
17
2009
Off-Policy Actor-Critic
Richard S. Sutton , Thomas Degris , Martha White
international conference on machine learning 179 -186
49
2012
Convex Multi-view Subspace Learning
Dale Schuurmans , Yao-liang Yu , Xinhua Zhang , Martha White
neural information processing systems 25 1673 -1681
91
2012
Optimal estimation of multivariate ARMA models
Dale Schuurmans , Junfeng Wen , Michael Bowling , Martha White
national conference on artificial intelligence 3080 -3086
6
2015
Estimating the class prior and posterior from noisy positives and unlabeled data
Predrag Radivojac , Martha White , Shantanu Jain
arXiv: Machine Learning
107
2016
Adapting Kernel Representations Online Using Submodular Maximization
Jiecao Chen , Martha White , Yangchen Pan , Matthew Schlegel
international conference on machine learning 3037 -3046
1
2017
Multi-view Matrix Factorization for Linear Dynamical System Estimation
Csaba Szepesvari , Dale Schuurmans , Mahdi Karami , Martha White
neural information processing systems 30 7092 -7101
3
2017
Directly Estimating the Variance of the {\lambda}-Return Using Temporal-Difference Methods
Craig Sherstan , Richard S. Sutton , Adam White , Kenny Young
arXiv: Artificial Intelligence
6
2018
High-confidence error estimates for learned value functions.
Martha White , Touqir Sajed , Wesley Chung
uncertainty in artificial intelligence 683 -692
3
2018
Supervised autoencoders: Improving generalization performance with unsupervised regularizers
Lei Le , Martha White , Andrew Patterson
neural information processing systems 31 107 -117
193
2018
Regularized factor models
Martha White
1
2015
Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling.
Weishi Zheng , Martha White , Tanli Zuo , Ruicheng Li
arXiv: Learning
3
2018
Two-Timescale Networks for Nonlinear Value Function Approximation
Martha White , Ajin Joseph , Wesley Chung , Somjit Nath
international conference on learning representations
31
2019
A Greedy Approach to Adapting the Trace Parameter for Temporal Difference Learning
Adam White , Martha White
adaptive agents and multi-agents systems 557 -565
18
2016
Effective sketching methods for value function approximation.
Martha White , Erfan Sadeqi Azer , Yangchen Pan
uncertainty in artificial intelligence
1
2017
Investigating Practical Linear Temporal Difference Learning
Martha White , Adam Adam
adaptive agents and multi-agents systems 494 -502
8
2016