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An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand
Research article (Transportation Research Part B Methodological, 2020) · cited 109× · AI/ML
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand
Summary
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand is a scholarly article[1].
Key Facts
An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-actor-critic-deep-reinforcement-learning-approach-for-metro-train-scheduling-with-rolling-stock-circulation-under-sto
MLA“An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-actor-critic-deep-reinforcement-learning-approach-for-metro-train-scheduling-with-rolling-stock-circulation-under-sto.
BibTeX@misc{4ortxyz_an-actor-critic-deep-reinforcement-learning-approach-for-metro-train-scheduling-with-rolling-stock-circulation-under-sto_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand}}, year = {2026}, url = {https://4ort.xyz/entity/an-actor-critic-deep-reinforcement-learning-approach-for-metro-train-scheduling-with-rolling-stock-circulation-under-sto}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An actor-critic deep reinforcement learning approach for metro train scheduling with rolling stock circulation under stochastic demand — https://4ort.xyz/entity/an-actor-critic-deep-reinforcement-learning-approach-for-metro-train-scheduling-with-rolling-stock-circulation-under-sto (retrieved 2026-05-24)
