Decision Making for Autonomous Driving Via Multimodal Transformer and Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Decision Making for Autonomous Driving Via Multimodal Transformer and Deep Reinforcement Learning

Published:2022-07-17 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)
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Author:

Fu Wen¹,Li Yanjie¹,Ye Zhaohui¹,Liu Qi¹

Affiliation:

1. Harbin Institute of Technology (Shenzhen),Control Science and Engineering,Department of Control Science and Engineering,Shenzhen,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872150/9872152/09872180.pdf?arnumber=9872180

Reference18 articles.

1. CIRL: Controllable Imitative Reinforcement Learning for Vision-Based Self-driving

2. Learning to Drive in a Day

3. Interpretable end-to-end urban autonomous driving with latent deep reinforcement learning;chen;IEEE Transactions on Intelligent Transportation Systems,2021

4. Towards Autonomous Driving Decision by Combining Self-attention and Deep Reinforcement Learning

5. Attention is all you need;vaswani;Advances in neural information processing systems,2017

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