PHASE uses heterogeneous self-play and context-conditioned policies to achieve realistic, zero-shot highway traffic simulation that outperforms traditional rule-based and self-play models on real-world datasets.
Gpudrive: Data- driven, multi-agent driving simulation at 1 million fps, 2025
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Heterogeneous Self-Play for Realistic Highway Traffic Simulation
PHASE uses heterogeneous self-play and context-conditioned policies to achieve realistic, zero-shot highway traffic simulation that outperforms traditional rule-based and self-play models on real-world datasets.