TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

Research article (2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021) · cited 171× · AI/ML
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TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors

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TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors is a scholarly article[1].

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  • TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors. Retrieved May 24, 2026, from https://4ort.xyz/entity/trafficsim-learning-to-simulate-realistic-multi-agent-behaviors
MLA “TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trafficsim-learning-to-simulate-realistic-multi-agent-behaviors.
BibTeX @misc{4ortxyz_trafficsim-learning-to-simulate-realistic-multi-agent-behaviors_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors}}, year = {2026}, url = {https://4ort.xyz/entity/trafficsim-learning-to-simulate-realistic-multi-agent-behaviors}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): TrafficSim: Learning to Simulate Realistic Multi-Agent Behaviors — https://4ort.xyz/entity/trafficsim-learning-to-simulate-realistic-multi-agent-behaviors (retrieved 2026-05-24)

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