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Prediction is arguably one of the most basic functions of an intelligent system.
Between mdps and semi-mdps: A framework for temporal abstraction in reinforcement learning
Richard S Sutton, Doina Precup, and Satinder Singh · 1999
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Automatic discovery of subgoals in reinforcement learning using diverse density
Amy McGovern and Andrew G Barto · 2001
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Dimensionality reduction by learning an invariant mapping
Raia Hadsell, Sumit Chopra, and Yann LeCun · 2006
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The proactive brain: memory for predictions
Moshe Bar · 2009
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Deep learning from temporal coherence in video
Hossein Mobahi, Ronan Collobert, and Jason Weston · 2009
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Skill characterization based on betweenness
Özgür Şimşek and Andrew G Barto · 2009
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Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
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Mujoco: A physics engine for model-based control
Emanuel Todorov, Tom Erez, and Yuval Tassa · 2012
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On the bottleneck concept for options discovery
Pierre-Luc Bacon · 2013
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Whatever next? predictive brains, situated agents, and the future of cognitive science
Andy Clark · 2013
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The predictive mind
Jakob Hohwy · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Cross-entropy method
Dirk P Kroese, Reuven Y Rubinstein, Izack Cohen, Sergey Porotsky, and Thomas Taimre · 2013
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Online skill discovery using graph-based clustering
Jan Hendrik Metzen · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Video (language) modeling: a baseline for generative models of natural videos
MarcAurelio Ranzato, Arthur Szlam, Joan Bruna, Michael Mathieu, Ronan Collobert, and Sumit Chopra · 2014
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Learning image representations tied to ego-motion
Dinesh Jayaraman and Kristen Grauman · 2015
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Pixel recurrent neural networks
Aaron van den Oord, Nal Kalchbrenner, and Koray Kavukcuoglu · 2016
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Conditional image generation with pixelcnn decoders
Aaron van den Oord, Nal Kalchbrenner, Lasse Espeholt, Oriol Vinyals, Alex Graves, et al · 2016
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An uncertain future: Forecasting from static images using variational autoencoders
Jacob Walker, Carl Doersch, Abhinav Gupta, and Martial Hebert · 2016
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Actions˜ transformations
Xiaolong Wang, Ali Farhadi, and Abhinav Gupta · 2016
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Visual dynamics: Probabilistic future frame synthesis via cross convolutional networks
Tianfan Xue, Jiajun Wu, Katherine Bouman, and Bill Freeman · 2016
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View synthesis by appearance flow
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Michael Mathieu, Camille Couprie, and Yann LeCun · 2015
Cited alongside, same era.
Action-conditional video prediction using deep networks in atari games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee, Richard L Lewis, and Satinder Singh · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
Cited alongside, same era.
Unsupervised learning for physical interaction through video prediction
Chelsea Finn, Ian Goodfellow, and Sergey Levine · 2016
Cited alongside, same era.
Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, and Koray Kavukcuoglu · 2016
Cited alongside, same era.
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, and Ole Winther · 2016
Cited alongside, same era.
Deconvolution and checkerboard artifacts
Augustus Odena, Vincent Dumoulin, and Chris Olah · 2016
Cited alongside, same era.
Tinghui Zhou, Shubham Tulsiani, Weilun Sun, Jitendra Malik, and Alexei A Efros · 2016
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Self-supervised visual planning with temporal skip connections
Frederik Ebert, Chelsea Finn, Alex X. Lee, and Sergey Levine · 2017
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Deep visual foresight for planning robot motion
Chelsea Finn and Sergey Levine · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Stochastic variational video prediction
Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, and Sergey Levine · 2018
Closest in time.
Stochastic video generation with a learned prior
Emily Denton and Rob Fergus · 2018
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Stochastic adversarial video prediction
Alex X Lee, Richard Zhang, Frederik Ebert, Pieter Abbeel, Chelsea Finn, and Sergey Levine · 2018
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