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When autonomous vehicles still struggle to solve challenging situations during on-road driving, humans have long mastered the essence of driving with efficient transferable and adaptable driving capability.
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Robust identification-based state derivative estimation for nonlinear systems
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Neural machine translation by jointly learning to align and translate
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Effective approaches to attention-based neural machine translation
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Neural machine translation and sequence-to-sequence models: A tutorial
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A framework for probabilistic generic traffic scene prediction
Yeping Hu, Wei Zhan, and Masayoshi Tomizuka · 2018
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Courteous autonomous cars
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Probabilistic prediction of vehicle semantic intention and motion
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Social behavior for autonomous vehicles
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Wei Zhan, Liting Sun, Di Wang, Haojie Shi, Aubrey Clausse, Maximilian Naumann, Julius Kümmerle, Hendrik Königshof, Christoph Stiller, Arnaud de La Fortelle, and Masayoshi Tomizuka · 2019
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Human motion prediction using semi-adaptable neural networks
Yujiao Cheng, Weiye Zhao, Changliu Liu, and Masayoshi Tomizuka · 2019
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Naturalistic driver intention and path prediction using recurrent neural networks
Alex Zyner, Stewart Worrall, and Eduardo Nebot · 2019
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Yeping Hu, Wei Zhan, and Masayoshi Tomizuka · 2018
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Graph networks as learnable physics engines for inference and control
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The promise of hierarchical reinforcement learning
Yannis Flet-Berliac · 2019
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Learning task-state representations
Yael Niv · 2019
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Holistic reinforcement learning: the role of structure and attention
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Multi-modal probabilistic prediction of interactive behavior via an interpretable model
Yeping Hu, Wei Zhan, Liting Sun, and Masayoshi Tomizuka · 2019
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Xin Li, Xiaowen Ying, and Mooi Choo Chuah · 2019
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Tnt: Target-driven trajectory prediction
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Scenario-transferable semantic graph reasoning for interaction-aware probabilistic prediction
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Comic: Complementary task learning & mimicry for reusable skills
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Socially-compatible behavior design of autonomous vehicles with verification on real human data
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Robust nonlinear adaptation algorithms for multitask prediction networks
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