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Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning
Research article (IEEE Access, 2020) · cited 14× · AI/ML
Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning
Summary
Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning is a scholarly article[1].
Key Facts
Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning'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). Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/navigation-in-restricted-channels-under-environmental-conditions-fast-time-simulation-by-asynchronous-deep-reinforcement
MLA“Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/navigation-in-restricted-channels-under-environmental-conditions-fast-time-simulation-by-asynchronous-deep-reinforcement.
BibTeX@misc{4ortxyz_navigation-in-restricted-channels-under-environmental-conditions-fast-time-simulation-by-asynchronous-deep-reinforcement_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/navigation-in-restricted-channels-under-environmental-conditions-fast-time-simulation-by-asynchronous-deep-reinforcement}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning — https://4ort.xyz/entity/navigation-in-restricted-channels-under-environmental-conditions-fast-time-simulation-by-asynchronous-deep-reinforcement (retrieved 2026-05-24)
