An Actor-critic Algorithm for Learning Rate Learning
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Tie-Yan Liu | Tao Qin | Chang Xu | Gang Wang | Tie-Yan Liu | Tao Qin | Gang Wang | Chang Xu
[1] Guy Lever,et al. Deterministic Policy Gradient Algorithms , 2014, ICML.
[2] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[3] Robert A. Jacobs,et al. Increased rates of convergence through learning rate adaptation , 1987, Neural Networks.
[4] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[5] Yishay Mansour,et al. Policy Gradient Methods for Reinforcement Learning with Function Approximation , 1999, NIPS.
[6] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[7] Richard S. Sutton,et al. Temporal credit assignment in reinforcement learning , 1984 .
[8] Klaus-Robert Müller,et al. Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.
[9] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[10] John E. Moody,et al. Fast adaptive k-means clustering: some empirical results , 1990, 1990 IJCNN International Joint Conference on Neural Networks.
[11] Richard S. Sutton,et al. Adapting Bias by Gradient Descent: An Incremental Version of Delta-Bar-Delta , 1992, AAAI.
[12] Ryan P. Adams,et al. Gradient-based Hyperparameter Optimization through Reversible Learning , 2015, ICML.
[13] Sebastian Nowozin,et al. Learning Step Size Controllers for Robust Neural Network Training , 2016, AAAI.
[14] Matthew D. Zeiler. ADADELTA: An Adaptive Learning Rate Method , 2012, ArXiv.
[15] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[16] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[17] Tom Schaul,et al. No more pesky learning rates , 2012, ICML.
[18] Grgoire Montavon,et al. Neural Networks: Tricks of the Trade , 2012, Lecture Notes in Computer Science.
[19] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[20] Joelle Pineau,et al. An Actor-Critic Algorithm for Sequence Prediction , 2016, ICLR.
[21] Georg Heigold,et al. An empirical study of learning rates in deep neural networks for speech recognition , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[22] Richard S. Sutton,et al. Time-Derivative Models of Pavlovian Reinforcement , 1990 .
[23] Yoram Singer,et al. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization , 2011, J. Mach. Learn. Res..
[24] Richard S. Sutton,et al. Learning to predict by the methods of temporal differences , 1988, Machine Learning.
[25] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[26] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[27] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.