human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "game theoretic modeling of driver and vehicle interactions for verification and validation of autonomous vehicle control systems"
  Abstract: Autonomous driving has been the subject of increased interest in recent years both in industry and in academia. Serious efforts are being pursued to address legal, technical and logistical problems and make autonomous cars a viable option for everyday transportation. One significant challenge is the time and effort required for the verification and validation of the decision and control algorithms employed in these vehicles to ensure a safe and comfortable driving experience. Hundreds of thousands of miles of driving tests are required to achieve a well calibrated control system that is capable of operating an autonomous vehicle in an uncertain traffic environment where multiple interactions between vehicles and drivers simultaneously occur. Traffic simulators where these interactions can be modeled and represented with reasonable fidelity can help decrease the time and effort necessary for the development of the autonomous driving control algorithms by providing a venue where acceptable initial control calibrations can be achieved quickly and safely before actual road tests. In this paper, we present a game theoretic traffic model that can be used to 1) test and compare various autonomous vehicle decision and control systems and 2) calibrate the parameters of an existing control system. We demonstrate two example case studies, where, in the first case, we test and quantitatively compare two autonomous vehicle control systems in terms of their safety and performance, and, in the second case, we optimize the parameters of an autonomous vehicle control system, utilizing the proposed traffic model and simulation environment.

Connected through hyperedge HE-1 (induced by source paper "autonomous highway driving using deep reinforcement learning"):
  with members:
    - "end to end learning of driving models with surround view cameras and route planners"
    - "rainbow combining improvements in deep reinforcement learning"
    - "meta learning shared hierarchies"
    - "deep reinforcement learning a brief survey"
    - "on a formal model of safe and scalable self driving cars"
    - "safe reinforcement learning via shielding"
    - "a survey of motion planning and control techniques for self driving urban vehicles"
    - "asynchronous methods for deep reinforcement learning"

Connected through hyperedge HE-2 (induced by source paper "game theoretic modeling of traffic in unsignalized intersection network for autonomous vehicle control verification and validation"):
  with members:
    - "a game theoretic approach to decision making for multiple vehicles at roundabout"
    - "game theoretic modeling of multi vehicle interactions at uncontrolled intersections"
    - "decision making for autonomous vehicles at unsignalized intersection in presence of malicious vehicles"
    - "using control synthesis to generate corner cases a case study on autonomous driving"
    - "hierarchical game theoretic planning for autonomous vehicles"
    - "adaptive game theoretic decision making for autonomous vehicle control at roundabouts"
    - "carla an open urban driving simulator"
    - "belief state planning for autonomously navigating urban intersections"

Connected through hyperedge HE-3 (induced by source paper "blessing of dimensionality at the edge"):
  with members:
    - "the unreasonable effectiveness of small neural ensembles in high dimensional brain"
    - "fast construction of correcting ensembles for legacy artificial intelligence systems algorithms and a case study"
    - "estimating the effective dimension of large biological datasets using fisher separability analysis"
    - "correction of ai systems by linear discriminants probabilistic foundations"
    - "augmented artificial intelligence"
    - "blessing of dimensionality mathematical foundations of the statistical physics of data"
    - "stochastic separation theorems"
    - "stochastic configuration networks fundamentals and algorithms"

Connected through hyperedge HE-4 (induced by source paper "modeling cyber physical human systems via an interplay between reinforcement learning and game theory"):
  with members:
    - "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts"
    - "reachability based safety and goal satisfaction of unmanned aerial platoons on air highways"
    - "provably safe and robust drone routing via sequential path planning a case study in san francisco and the bay area"
    - "safe platooning of unmanned aerial vehicles via reachability"
    - "cyber physical security a game theory model of humans interacting over control systems"
    - "counter factual reinforcement learning how to model decision makers that anticipate the future"
    - "game theoretic modeling of pilot behavior during mid air encounters"

Connected through hyperedge HE-5 (induced by source paper "how shall i drive interaction modeling and motion planning towards empathetic and socially graceful driving"):
  with members:
    - "learning and inferring a driver s braking action in car following scenarios"
    - "courteous autonomous cars"
    - "learning with opponent learning awareness"

Connected through hyperedge HE-6 (induced by source paper "a game theoretical framework for the evaluation of unmanned aircraft systems airspace integration concepts"):
  with members:
    - "cyber physical security a game theory model of humans interacting over control systems"
    - "counter factual reinforcement learning how to model decision makers that anticipate the future"
    - "game theoretic modeling of pilot behavior during mid air encounters"

Connected through hyperedge HE-7 (induced by source paper "beating humans in a penny matching game by leveraging cognitive hierarchy theory and bayesian learning"):
  with members:
    - "decision making in dynamic and interactive environments based on cognitive hierarchy theory bayesian inference and predictive control"
    - "decision making in dynamic and interactive environments based on cognitive hierarchy theory formulation solution and application to autonomous driving"

Connected through hyperedge HE-8 (induced by source paper "decision making in dynamic and interactive environments based on cognitive hierarchy theory formulation solution and application to autonomous driving"):
  with members:
    - "adaptive game theoretic decision making for autonomous vehicle control at roundabouts"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.AI(Artificial Intelligence)