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Automatically reasoning about future human behaviors is a difficult problem but has significant practical applications to assistive systems.
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Tian Lan, Tsung-Chuan Chen, and Silvio Savarese · 2014
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Reinforcement and imitation learning via interactive no-regret learning
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Very deep convolutional networks for large-scale image recognition
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Desire: Distant future prediction in dynamic scenes with interacting agents
Namhoon Lee, Wongun Choi, Paul Vernaza, Christopher B Choy, Philip HS Torr, and Manmohan Chandraker · 2017
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First-person activity forecasting with online inverse reinforcement learning
Nicholas Rhinehart and Kris M Kitani · 2017
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