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Widespread adoption of self-driving cars will depend not only on their safety but largely on their ability to interact with human users.
GloVe: global vectors for word representation
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Microsoft COCO: Common objects in context
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Continuous control with deep reinforcement learning
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End to end learning for self-driving cars
M. Bojarski, D. Del Testa, D. Dworakowski, B. Firner, B. Flepp, P. Goyal, L. D. Jackel, M. Monfort, U. Muller, J. Zhang, et al · 2016
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Autonomous question answering with mobile robots in human-populated environments
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The Cityscapes dataset for semantic urban scene understanding
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CARLA: An open urban driving simulator
A. Dosovitskiy, G. Ros, F. Codevilla, A. Lopez, and V. Koltun · 2017
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Combining neural networks and tree search for task and motion planning in challenging environments
C. Paxton, V. Raman, G. D. Hager, and M. Kobilarov · 2017
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Ddco: Discovery of deep continuous options for robot learning from demonstrations
S. Krishnan, R. Fox, I. Stoica, and K. Goldberg · 2017
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Modular multitask reinforcement learning with policy sketches
J. Andreas, D. Klein, and S. Levine · 2017
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End-to-end driving via conditional imitation learning
F. Codevilla, M. Miiller, A. López, V. Koltun, and A. Dosovitskiy · 2018
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CIRL: Controllable imitative reinforcement learning for vision-based self-driving
X. Liang, T. Wang, L. Yang, and E. Xing · 2018
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Gated-attention architectures for task-oriented language grounding
D. S. Chaplot, K. M. Sathyendra, R. K. Pasumarthi, D. Rajagopal, and R. Salakhutdinov · 2018
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Following high-level navigation instructions on a simulated quadcopter with imitation learning
V. Blukis, N. Brukhim, A. Bennett, R. A. Knepper, and Y. Artzi · 2018
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TACO: Learning task decomposition via temporal alignment for control
K. Shiarlis, M. Wulfmeier, S. Salter, S. Whiteson, and I. Posner · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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M. Müller, A. Dosovitskiy, B. Ghanem, and V. Koltun · 2018
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Neural modular control for embodied question answering
A. Das, G. Gkioxari, S. Lee, D. Parikh, and D. Batra · 2018
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P. Shah, M. Fiser, A. Faust, J. C. Kew, and D. Hakkani-Tur · 2018
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Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
P. Anderson, Q. Wu, D. Teney, J. Bruce, M. Johnson, N. Sünderhauf, I. Reid, S. Gould, and A. van den Hengel · 2018
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MobileNetV2: Inverted residuals and linear bottlenecks
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen · 2018
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Prospection: Interpretable plans from language by predicting the future
C. Paxton, Y. Bisk, J. Thomason, A. Byravan, and D. Fox · 2019
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Self-monitoring navigation agent via auxiliary progress estimation
C.-Y. Ma, J. Lu, Z. Wu, G. AlRegib, Z. Kira, R. Socher, and C. Xiong · 2019
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Tactical rewind: Self-correction via backtracking in vision-and-language navigation
L. Ke, X. Li, Y. Bisk, A. Holtzman, Z. Gan, J. Liu, J. Gao, Y. Choi, and S. Srinivasa · 2019
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