Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment

Research article (Transportation Research Part C Emerging Technologies, 2022) · cited 62× · AI/ML
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Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment

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Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment
MLA “Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment.
BibTeX @misc{4ortxyz_multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-agent reinforcement learning for Markov routing games: A new modeling paradigm for dynamic traffic assignment}}, year = {2026}, url = {https://4ort.xyz/entity/multi-agent-reinforcement-learning-for-markov-routing-games-a-new-modeling-paradigm-for-dynamic-traffic-assignment}, note = {Accessed: 2026-05-24}}
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