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MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling
MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling
Summary
MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling is a scholarly article[1].
Key Facts
MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling. Retrieved May 24, 2026, from https://4ort.xyz/entity/mamhsan-a-multi-agent-deep-reinforcement-learning-framework-based-on-multi-head-self-attention-network-with-heterogeneou
MLA“MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mamhsan-a-multi-agent-deep-reinforcement-learning-framework-based-on-multi-head-self-attention-network-with-heterogeneou.
BibTeX@misc{4ortxyz_mamhsan-a-multi-agent-deep-reinforcement-learning-framework-based-on-multi-head-self-attention-network-with-heterogeneou_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling}}, year = {2026}, url = {https://4ort.xyz/entity/mamhsan-a-multi-agent-deep-reinforcement-learning-framework-based-on-multi-head-self-attention-network-with-heterogeneou}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MAMHSAN: A multi-agent deep reinforcement learning framework based on multi-head self-attention network with heterogeneous graph embedding for flexible job shop scheduling — https://4ort.xyz/entity/mamhsan-a-multi-agent-deep-reinforcement-learning-framework-based-on-multi-head-self-attention-network-with-heterogeneou (retrieved 2026-05-24)
