Learning to Ask Medical Questions using Reinforcement Learning
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Uri Shaham | Cesar Caraballo | Shiwani Mahajan | Harlan Krumholz | Tom Zahavy | Daisy Massey | Tom Zahavy | H. Krumholz | Uri Shaham | S. Mahajan | C. Caraballo | D. Massey
[1] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[2] Debaditya Roy,et al. Feature selection using Deep Neural Networks , 2015, 2015 International Joint Conference on Neural Networks (IJCNN).
[3] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[4] Ofir Lindenbaum,et al. Deep supervised feature selection using Stochastic Gates , 2018, ArXiv.
[5] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[6] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[7] Pierre Geurts,et al. Tree-Based Batch Mode Reinforcement Learning , 2005, J. Mach. Learn. Res..
[8] Qinghua Hu,et al. Heterogeneous Feature Selection With Multi-Modal Deep Neural Networks and Sparse Group LASSO , 2015, IEEE Transactions on Multimedia.
[9] Huang Hu,et al. Playing 20 Question Game with Policy-Based Reinforcement Learning , 2018, EMNLP.
[10] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[11] Scott M. Lundberg,et al. Consistent Individualized Feature Attribution for Tree Ensembles , 2018, ArXiv.
[12] Yue Wang,et al. Learning-to-Ask: Knowledge Acquisition via 20 Questions , 2018, KDD.
[13] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[14] Ofir Lindenbaum,et al. Deep supervised feature selection using Stochastic Gates , 2018, ICML.
[15] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[16] David Silver,et al. Deep Reinforcement Learning with Double Q-Learning , 2015, AAAI.
[17] Satinder Singh,et al. On Learning Intrinsic Rewards for Policy Gradient Methods , 2018, NeurIPS.
[18] Maxine Eskénazi,et al. Towards End-to-End Learning for Dialog State Tracking and Management using Deep Reinforcement Learning , 2016, SIGDIAL Conference.
[19] James Zou,et al. Concrete Autoencoders for Differentiable Feature Selection and Reconstruction , 2019, ArXiv.
[20] Max Welling,et al. Learning Sparse Neural Networks through L0 Regularization , 2017, ICLR.
[21] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[22] Kewei Cheng,et al. Feature Selection , 2016, ACM Comput. Surv..
[23] Wyeth W. Wasserman,et al. Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters , 2015, RECOMB.