Formulates mixed-autonomy routing as a variational inequality to prove equilibrium existence without convexity, uniqueness of aggregate flows under specific costs, and sufficient conditions for social cost changes with altruistic AV penetration.
Social behavior for autonomous vehicles
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A CVAE-based approach learns distributions over responsibility allocations in multi-agent scenes by grounding them in induced controls through differentiable optimization, showing strong prediction on driving data.
citing papers explorer
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Routing Equilibrium in Mixed-Autonomy Traffic Networks with Altruistic Autonomous Agents
Formulates mixed-autonomy routing as a variational inequality to prove equilibrium existence without convexity, uniqueness of aggregate flows under specific costs, and sufficient conditions for social cost changes with altruistic AV penetration.
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Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions
A CVAE-based approach learns distributions over responsibility allocations in multi-agent scenes by grounding them in induced controls through differentiable optimization, showing strong prediction on driving data.