Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles-Reference-Cited by-同舟云学术

Game-Theoretic Lane-Changing Decision Making and Payoff Learning for Autonomous Vehicles

Author:

Lopez Victor¹^ORCID,Lewis Frank¹^ORCID,Liu Mushuang²^ORCID,Wan Yan²^ORCID,Nageshrao Subramanya³,Filev Dimitar⁴^ORCID

Affiliation:

1. UTA Research Institute, University of Texas at Arlington, Fort Worth, TX, USA

2. Electrical Engineering Department, University of Texas, Arlington, TX, USA

3. Ford Greenfield Labs, Palo Alto, CA, USA

4. Ford Research and Innovation Center, Dearborn, MI, USA

Funder

Ford Contract Fast Autonomous Driving Decision

ARO

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

Reference35 articles.

3. Nash q-learning for general-sum stochastic games;hu;J Mach Learn Res,2003

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