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Endowing robots with human-like physical reasoning abilities remains challenging.
Core knowledge
Elizabeth S Spelke and Katherine D Kinzler · 2007
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The Graph Neural Network Model
F Scarselli, M Gori, A C Tsoi, M Hagenbuchner, and G Monfardini · 2008
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn, Ian Goodfellow, and Sergey Levine · 2016
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Learning to poke by poking: Experiential learning of intuitive physics
Pulkit Agrawal, Ashvin V Nair, Pieter Abbeel, Jitendra Malik, and Sergey Levine · 2016
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Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
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Asynchronous Methods for Deep Reinforcement Learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
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Deep visual foresight for planning robot motion
Chelsea Finn and Sergey Levine · 2017
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Learning to generate long-term future via hierarchical prediction
Ruben Villegas, Jimei Yang, Yuliang Zou, Sungryull Sohn, Xunyu Lin, and Honglak Lee · 2017
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Visual Interaction Networks: Learning a Physics Simulator from Video
Nicholas Watters, Daniel Zoran, Theophane Weber, Peter Battaglia, Razvan Pascanu, and Andrea Tacchetti · 2017
Cited alongside, same era.
Learning to Singulate Objects using a Push Proposal Network
Hierarchical long-term video prediction without supervision
Nevan Wichers, Ruben Villegas, Dumitru Erhan, and Honglak Lee · 2018
Later among the works it cites.
Relational inductive biases, deep learning, and graph networks
Peter W Battaglia, Jessica B Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, et al · 2018
Later among the works it cites.
Compositional Video Prediction
Yufei Ye, Maneesh Singh, Abhinav Gupta, and Shubham Tulsiani · 2019
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COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters, Loic Matthey, Matko Bosnjak, Christopher P. Burgess, and Alexander Lerchner · 2019
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Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Michael Janner, Sergey Levine, William T Freeman, Joshua B Tenenbaum, Chelsea Finn, and Jiajun Wu · 2019
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Andreas Eitel, Nico Hauff, and Wolfram Burgard · 2017
Cited alongside, same era.