A multiagent reinforcement learning approach to en-route trip building-Reference-Cited by-同舟云学术

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A multiagent reinforcement learning approach to en-route trip building

Published:2016-07 Issue: Volume: Page:
ISSN:
Container-title:2016 International Joint Conference on Neural Networks (IJCNN)
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Author:

Bazzan Ana L. C.,Grunitzki Ricardo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7593175/7726591/07727899.pdf?arnumber=7727899

Cited by 18 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. Providing real-time en-route suggestions to CAVs for congestion mitigation: A two-way deep reinforcement learning approach;Transportation Research Part B: Methodological;2024-06

2. A Constraint-Based Routing and Charging Methodology for Battery Electric Vehicles With Deep Reinforcement Learning;IEEE Transactions on Smart Grid;2023-05

3. Comparing reinforcement learning algorithms for a trip building task: A multi-objective approach using non-local information;Computer Science and Information Systems;2023

4. Reinforcement learning for ridesharing: An extended survey;Transportation Research Part C: Emerging Technologies;2022-11

5. Bayesian Optimization for Multi-Agent Routing in Markov Games;2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC);2022-10-08

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