Deep Reinforcement Learning based Vehicle Navigation amongst pedestrians using a Grid-based state representation*-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning based Vehicle Navigation amongst pedestrians using a Grid-based state representation*

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Transportation Systems Conference (ITSC)
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Short-container-title:

Author:

Deshpande Niranjan,Spalanzani Anne

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8907344/8916833/08917299.pdf?arnumber=8917299

Cited by 23 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on Interaction Strategies of Autonomous Vehicles Based on Social Preference;Lecture Notes in Electrical Engineering;2024

2. Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles;Advanced Intelligent Systems;2023-12

3. Graph Reinforcement Learning-Based Decision-Making Technology for Connected and Autonomous Vehicles: Framework, Review, and Future Trends;Sensors;2023-10-03

4. GRAND: Graph Laplacian-based Reinforcement Learning for Autonomous Navigation Decisions;2023 IEEE World Conference on Applied Intelligence and Computing (AIC);2023-07-29

5. Multi-objective reward shaping for global and local trajectory planning of wing-in-ground crafts based on deep reinforcement learning;The Aeronautical Journal;2023-06-14

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