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Nowadays, our mobility systems are evolving into the era of intelligent vehicles that aim to improve road safety.
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Sepp Hochreiter · 1998
Earlier work this paper cites.
Chaos and the rationality proposition
Eric A Kincanon · 1999
Earlier work this paper cites.
Crowds by example
Alon Lerner, Yiorgos Chrysanthou, and Dani Lischinski · 2007
Earlier work this paper cites.
Maximum entropy inverse reinforcement learning
Brian D Ziebart, Andrew L Maas, J Andrew Bagnell, Anind K Dey, et al · 2008
Earlier work this paper cites.
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Stefano Pellegrini, Andreas Ess, Konrad Schindler, and Luc Van Gool · 2009
Earlier work this paper cites.
Activity forecasting
Kris M Kitani, Brian D Ziebart, James Andrew Bagnell, and Martial Hebert · 2012
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba · 2015
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Professor forcing: A new algorithm for training recurrent networks
Alex M Lamb, Anirudh Goyal ALIAS PARTH GOYAL, Ying Zhang, Saizheng Zhang, Aaron C Courville, and Yoshua Bengio · 2016
Earlier work this paper cites.
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Earlier work this paper cites.
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Jiatao Gu, James Bradbury, Caiming Xiong, Victor OK Li, and Richard Socher · 2017
Earlier work this paper cites.
Social gan: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Earlier work this paper cites.
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Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Non-autoregressive transformer for speech recognition
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