How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games

Author:

Zanardi Alessandro1ORCID,Sessa Pier Giuseppe2,Käslin Nando1ORCID,Bolognani Saverio3ORCID,Censi Andrea1ORCID,Frazzoli Emilio1

Affiliation:

1. Institute for Dynamic Systems and Control, ETH, Zürich, Switzerland

2. Institute for Machine Learning, ETH, Zürich, Switzerland

3. Automatic Control Lab, ETH, Zürich, Switzerland

Funder

Swiss National Science Foundation funder NCCR Automation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference31 articles.

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4. Newton? method and differential dynamic programming for unconstrained nonlinear dynamic games;di;Proc IEEE Conf Decis Control,0

5. Independent policy gradient for large-scale Markov potential games: Sharper rates, function approximation, and game-agnostic convergence;ding;Proc 39th Int Conf Mach Learn,0

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