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Behavior prediction in dynamic, multi-agent systems is an important problem in the context of self-driving cars, due to the complex representations and interactions of road components, including moving agents (e.g.
Us highway 101 dataset
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Relational inductive biases, deep learning, and graph networks
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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Generative multi-agent behavioral cloning
Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, and Patrick Lucey · 2018
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https://evalai.cloudcv.org/web/challenges/challenge-page/454/leaderboard/1279
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Multipath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction
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Weijie Su, Xizhou Zhu, Yue Cao, Bin Li, Lewei Lu, Furu Wei, and Jifeng Dai · 2019
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Stochastic prediction of multi-agent interactions from partial observations
Chen Sun, Per Karlsson, Jiajun Wu, Joshua B Tenenbaum, and Kevin Murphy · 2019
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VideoBERT: A joint model for video and language representation learning
Chen Sun, Austin Myers, Carl Vondrick, Kevin Murphy, and Cordelia Schmid · 2019
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Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, and Cordelia Schmid · 2019
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Multiple futures prediction
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Raymond A. Yeh, Alexander G. Schwing, Jonathan Huang, and Kevin Murphy · 2019
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