End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context
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End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context is a scholarly article[1].
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End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context. Retrieved May 24, 2026, from https://4ort.xyz/entity/end-to-end-reinforcement-learning-for-autonomous-longitudinal-control-using-advantage-actor-critic-with-temporal-context
MLA“End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/end-to-end-reinforcement-learning-for-autonomous-longitudinal-control-using-advantage-actor-critic-with-temporal-context.
BibTeX@misc{4ortxyz_end-to-end-reinforcement-learning-for-autonomous-longitudinal-control-using-advantage-actor-critic-with-temporal-context_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context}}, year = {2026}, url = {https://4ort.xyz/entity/end-to-end-reinforcement-learning-for-autonomous-longitudinal-control-using-advantage-actor-critic-with-temporal-context}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): End-to-end Reinforcement Learning for Autonomous Longitudinal Control Using Advantage Actor Critic with Temporal Context — https://4ort.xyz/entity/end-to-end-reinforcement-learning-for-autonomous-longitudinal-control-using-advantage-actor-critic-with-temporal-context (retrieved 2026-05-24)
