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Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory
Research article (IEEE Transactions on Intelligent Vehicles, 2023) · cited 38× · AI/ML
Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory
Summary
Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory is a scholarly article[1].
Key Facts
Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/simulation-of-vehicle-interaction-behavior-in-merging-scenarios-a-deep-maximum-entropy-inverse-reinforcement-learning-me
MLA“Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/simulation-of-vehicle-interaction-behavior-in-merging-scenarios-a-deep-maximum-entropy-inverse-reinforcement-learning-me.
BibTeX@misc{4ortxyz_simulation-of-vehicle-interaction-behavior-in-merging-scenarios-a-deep-maximum-entropy-inverse-reinforcement-learning-me_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory}}, year = {2026}, url = {https://4ort.xyz/entity/simulation-of-vehicle-interaction-behavior-in-merging-scenarios-a-deep-maximum-entropy-inverse-reinforcement-learning-me}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Simulation of Vehicle Interaction Behavior in Merging Scenarios: A Deep Maximum Entropy-Inverse Reinforcement Learning Method Combined With Game Theory — https://4ort.xyz/entity/simulation-of-vehicle-interaction-behavior-in-merging-scenarios-a-deep-maximum-entropy-inverse-reinforcement-learning-me (retrieved 2026-05-24)
