Modeling cyber-physical human systems via an interplay between reinforcement learning and game theory
Predicting the outcomes of cyber-physical systems with multiple human interactions is a
challenging problem. This article reviews a game theoretical approach to address this issue …
challenging problem. This article reviews a game theoretical approach to address this issue …
Game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems
Autonomous driving has been the subject of incre-ased interest in recent years both in
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
industry and in academia. Serious efforts are being pursued to address legal, technical, and …
Game theoretic modeling of vehicle interactions at unsignalized intersections and application to autonomous vehicle control
In this paper, we discuss a game theoretic approach to model the time-extended, multi-step,
and interactive decision making of vehicles at unsignalized intersections. The vehicle …
and interactive decision making of vehicles at unsignalized intersections. The vehicle …
Driver modeling through deep reinforcement learning and behavioral game theory
In this work, a synergistic combination of deep reinforcement learning and hierarchical game
theory is proposed as a modeling framework for behavioral predictions of drivers in highway …
theory is proposed as a modeling framework for behavioral predictions of drivers in highway …
Unmanned aircraft systems airspace integration: A game theoretical framework for concept evaluations
The focus of this paper is to present a game theoretical modeling framework for the
integration of unmanned aircraft systems into the National Airspace System. The problem of …
integration of unmanned aircraft systems into the National Airspace System. The problem of …
Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems
A hierarchical game theoretic decision making framework is exploited to model driver
decisions and interactions in traffic. In this paper, we apply this framework to develop a …
decisions and interactions in traffic. In this paper, we apply this framework to develop a …
[HTML][HTML] Online hierarchical recognition method for target tactical intention in beyond-visual-range air combat
Online accurate recognition of target tactical intention in beyond-visual-range (BVR) air
combat is an important basis for deep situational awareness and autonomous air combat …
combat is an important basis for deep situational awareness and autonomous air combat …
A game theoretical model of traffic with multiple interacting drivers for use in autonomous vehicle development
This paper describes a game theoretical model of traffic where multiple drivers interact with
each other. The model is developed using hierarchical reasoning, a game theoretical model …
each other. The model is developed using hierarchical reasoning, a game theoretical model …
Decision making in dynamic and interactive environments based on cognitive hierarchy theory, Bayesian inference, and predictive control
In this paper, we describe an integrated framework for autonomous decision making in a
dynamic and interactive environment. We model the interactions between the ego agent and …
dynamic and interactive environment. We model the interactions between the ego agent and …
Game theoretic decision making for autonomous vehicles' merge manoeuvre in high traffic scenarios
M Garzón, A Spalanzani - 2019 IEEE Intelligent Transportation …, 2019 - ieeexplore.ieee.org
This paper presents a game theoretic decision making process for autonomous vehicles. Its
goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic …
goal is to provide a solution for a very challenging task: the merge manoeuvre in high traffic …