1–20 von 25 Ergebnissen
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    Double deep multiagent reinforcement learning for autonomous driving in traffic maps with road segments and unsignaled intersections

    Spatharis, Christos / Blekas, Konstantinos | IEEE | 2020
    In this work we present an advanced deep multiagent reinforcement learning scheme for autonomous driving of multiple vehicles in traffic ...

    Multiagent-based cooperative vehicle routing using node pressure and auctions

    Seshadri, Madhavan / Cao, Zhiguang / Guo, Hongliang et al. | IEEE | 2017
    in wireless sensor networks, however rarely applied to transportation systems due to the nature of interactions between vehicles. This paper ...

    Impact of Travelers Information Level on Disturbed Transit Networks: A Multiagent Simulation

    Zargayouna, Mahdi / Othman, Amine / Scemama, Gerard et al. | IEEE | 2015
    simulations. Multiagent simulation is proving to be a powerful model for analyzing transport activities. Indeed, autonomous agents provide an ...

    Agent-based simulation of a shared, autonomous and electric on-demand mobility solution

    Jager, Benedikt / Agua, Fares Maximilian Mrad / Lienkamp, Markus | IEEE | 2017
    dispatcher and customers. All agents live in a shared environment consisting of a street network and charging infrastructure. The dispatching center ...

    Market-based approach for cooperation and coordination among multiple autonomous vehicles

    Kokuti, Andras / Hussein, Ahmed / de la Escalera, Arturo et al. | IEEE | 2017
    research interest of multiple agents is extended to the intelligent transportation systems society, through considering the transportation vehicles ...

    Trajectory prediction of traffic agents at urban intersections through learned interactions

    Sarkar, A. / Czarnecki, Krzysztof / Angus, Matt et al. | IEEE | 2017
    To navigate a complex urban environment, it is essential for autonomous vehicles to make educated assumptions and accurate predictions of ...

    Regulating air traffic flow with coupled agents

    Agogino, Adrian / Tumer, Kagan | Tema Archiv | 2009
    agents to control air traffic flow through one of three mechanisms (miles in trail, ground delays and rerouting). Second, the authors explore a ...

    Individual and cooperative tasks performed by autonomous MAV teams driven by embodied neural network controllers

    Ruini, F. / Cangelosi, A. / Zetule, F. | Tema Archiv | 2009
    simulations based on multi-agent systems and evolutionary robotics methodologies. We first introduce the field of autonomous flying robots, reviewing ...
    Schlagwörter: Multiagentensystem

    Lessons Learned from Autonomous Sciencecraft Experiment

    Chien, Steve A. / Sherwood, Rob / Tran, Daniel et al. | NTRS | 2005
    software systems that perform science data analysis, deliberative planning, and run-time robust execution. This software is in routine use to fly ...
    Verlag: NASA National Aeronautics and Space Administration
    Schlagwörter: Autonomous Sciencecraft Experiment (ASE) , Computer Programming And Software

    Approximately Orchestrated Routing and Transportation Analyzer: Large-scale traffic simulation for autonomous vehicles

    Carlino, Dustin / Depinet, Mike / Khandelwal, Piyush et al. | IEEE | 2012
    world in a matter of minutes. AORTA allows for traffic optimization by creating intelligent behaviors for individual driver agents and ...

    Multiagent model using coloured Petri nets for the regulation traffic of an automated highway

    Aitouche, A. / Hayat, S. | IEEE | 2003
    vehicle gases. The aim of this study is the modelling of traffic congestion by multi agent systems. Agents are autonomous interacting entities ...

    Proceedings of the International Conference on Manufacturing Automation, April 28-30, 1997, Hong Kong

    Freier Zugriff
    Gibson, I. / Tan, S. T. / Wong, T. N. | BASE | 1997
    balancing using modified genetic algorithm Guo, Y. Guo, Y. Chan, K.C. Chan, K.C. 803 ; v.2 Agents and multiagent manufacturing systems: modelling ...
    Beteiligte: University of Hong Kong. Dept. of Mechanical Engineering.
    Verlag: [Dept. of Mechanical Engineering, University of Hong Kong] , University of Hong Kong: HKU Scholars Hub

    SHIP-GAN: GENERATIVE MODELING BASED MARITIME TRAFFIC SIMULATOR

    Basrur, Chaithanya / Singh, Arambam James / Sinha, Arunesh et al. | British Library Conference Proceedings | 2021

    OpCog: An industrial development approach for cognitive agent systems in military UAV applications

    Reichel, Kai / Hochgeschwender, Nico / Voos, Holger | Tema Archiv | 2009
    the autonomous system this paper proposes the application of cognitive agents and a design procedure that supports the transition of the pure ...

    The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution

    Freier Zugriff
    Banarse, D / Bachrach, Y / Liu, S et al. | BASE | 2019
    also in the design of their body. We propose a method for uncovering strong agents, consisting of a good combination of a body and policy ...
    Verlag: IFAAMAS (International Foundation of Autonomous Agents and MultiAgent Systems) , University College London: UCL Discovery

    Multi-Agent Heterogeneous Digital Twin Framework with Dynamic Responsibility Allocation for Complex Task Simulation

    Freier Zugriff
    Bauer, Adrian Simon / Köpken, Anne / Leidner, Daniel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2022
    To become helpful assistants in our daily lives, robots must be able to understand the effects of their actions on their environment. A ...

    Malthusian Reinforcement Learning

    Freier Zugriff
    Leibo, JZ / Perolat, J / Hughes, E et al. | BASE | 2019
    population size to drive agents to explore regions of state and policy spaces that they could not otherwise reach. Furthermore, in environments where ...
    Verlag: IFAAMAS (International Foundation of Autonomous Agents and MultiAgent Systems) , University College London: UCL Discovery

    TO HOLD OR NOT TO HOLD? - REDUCING PASSENGER MISSED CONNECTIONS IN AIRLINES USING REINFORCEMENT LEARNING

    Malladi, Tejasvi / Murugappan, Karpagam / Sudarsanam, Depak et al. | TIBKAT | 2021

    A Generalised Method for Empirical Game Theoretic Analysis

    Freier Zugriff
    Tuyls, K / Perolat, J / Lanctot, M et al. | BASE | 2018
    investigate and show how many data samples are required to obtain a close enough approximation of the underlying game. Additionally, we extend the ...

    GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning

    Freier Zugriff
    Ruan, J / Du, Y / Xiong, X et al. | BASE | 2022
    Many real-world scenarios involve a team of agents that have to coordinate their policies to achieve a shared goal. Previous studies mainly ...
    Schlagwörter: Multi-Agent Systems