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Joelle Pineau | Yoshua Bengio | Doina Precup | Valentin Thomas | Emmanuel Bengio | Yoshua Bengio | Doina Precup | Joelle Pineau | Emmanuel Bengio | Y. Bengio | Jules Pondard | Marie-Jean Meurs | Philippe Beaudoin | Valentin Thomas | Marc Sarfati
[1] Samuel Gershman,et al. Deep Successor Reinforcement Learning , 2016, ArXiv.
[2] Doina Precup,et al. Between MDPs and Semi-MDPs: A Framework for Temporal Abstraction in Reinforcement Learning , 1999, Artif. Intell..
[3] Doina Precup,et al. Using MDP Characteristics to Guide Exploration in Reinforcement Learning , 2003, ECML.
[4] Yoshua Bengio,et al. NICE: Non-linear Independent Components Estimation , 2014, ICLR.
[5] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[6] Yoshua Bengio,et al. Generative Adversarial Networks , 2014, ArXiv.
[7] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[8] Ronald J. Williams,et al. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning , 2004, Machine Learning.
[9] Doina Precup,et al. The Option-Critic Architecture , 2016, AAAI.
[10] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[11] Yann LeCun,et al. The mnist database of handwritten digits , 2005 .
[12] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[13] Doina Precup,et al. Temporal abstraction in reinforcement learning , 2000, ICML 2000.
[14] Geoffrey E. Hinton,et al. The Helmholtz Machine , 1995, Neural Computation.
[15] Tom Schaul,et al. Reinforcement Learning with Unsupervised Auxiliary Tasks , 2016, ICLR.
[16] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[17] Tom Schaul,et al. The Predictron: End-To-End Learning and Planning , 2016, ICML.
[18] Harri Valpola,et al. Tagger: Deep Unsupervised Perceptual Grouping , 2016, NIPS.
[19] Rob Fergus,et al. MazeBase: A Sandbox for Learning from Games , 2015, ArXiv.
[20] Alois Knoll,et al. Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem , 2012, ESANN.
[21] Peter Dayan,et al. Improving Generalization for Temporal Difference Learning: The Successor Representation , 1993, Neural Computation.
[22] Aapo Hyvärinen,et al. Unsupervised Feature Extraction by Time-Contrastive Learning and Nonlinear ICA , 2016, NIPS.
[23] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[24] A. Gopnik,et al. Reconstructing constructivism: causal models, Bayesian learning mechanisms, and the theory theory. , 2012, Psychological bulletin.
[25] Patrick M. Pilarski,et al. Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction , 2011, AAMAS.
[26] Honglak Lee,et al. Action-Conditional Video Prediction using Deep Networks in Atari Games , 2015, NIPS.
[27] Peter W. Glynn,et al. Likelilood ratio gradient estimation: an overview , 1987, WSC '87.