RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning-Reference-Cited by-同舟云学术

RISE: A Velocity Control Framework with Minimal Impacts based on Reinforcement Learning

Published:2022-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Information & Knowledge Management
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Author:

Xia Yuyang¹,Liu Shuncheng¹,Chen Xu¹,Xu Zhi¹,Zheng Kai¹,Su Han¹

Affiliation:

1. University of Electronic Science and Technology of China, Chengdu, China

Funder

Shenzhen Municipal Science and Technology R&D Funding Basic Research Program

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3511808.3557435

Reference50 articles.

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3. Modeling Spatial Trajectories with Attribute Representation Learning

4. Efficient and Effective Similar Subtrajectory Search: A Spatial-aware Comprehension Approach

5. Convolutional Social Pooling for Vehicle Trajectory Prediction

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