Synonyme wurden verwendet für: Reinforcement
Suche ohne Synonyme: keywords:(Reinforcement Q-Learning)

1–20 von 61 Ergebnissen
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    Reinforcement learning approach for train rescheduling on a single-track railway

    Šemrov, D. / Marsetič, R. / Žura, M. et al. | Elsevier | 2015
    Schlagwörter: Reinforcement learning , Q-learning

    Opponent modelling in the game of tron using reinforcement learning

    Freier Zugriff
    Knegt, S.J.L. / Drugan, M.M. / Wiering, M.A. | BASE | 2018
    Schlagwörter: Q-learning , Reinforcement Learning

    Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning

    Freier Zugriff
    Zahmatkesh M. / Emami S. A. / Banazadeh A. et al. | BASE | 2022
    Schlagwörter: fuzzy q-learning , q-learning , reinforcement learning

    Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment

    Freier Zugriff
    Brejl, Rasmus / Purwins, Hendrik / Schoenau-Fog, Henrik | BASE | 2018
    Schlagwörter: Reinforcement Learning , Q-Learning , Deep Recurrent Q-Learning

    Reinforcement Learning-Based Routing Protocols in Vehicular and Flying Ad Hoc Networks – A Literature Survey

    Freier Zugriff
    Bugarčić, Pavle / Jevtić, Nenad / Malnar, Marija | BASE | 2022
    Schlagwörter: reinforcement learning , Q-learning

    An Efficient Navigation Framework for Autonomous Mobile Robots in Dynamic Environments using Learning Algorithms

    Freier Zugriff
    Truong, Xuan-Tung / Dinh, Hong Toan / Nguyen, Cong Dinh | BASE | 2018
    Schlagwörter: Reinforcement learning , Q-learning

    Input-Decoupled Q-Learning for Optimal Control

    Phan, Minh Q. / Azad, Seyed Mahdi B. | Online Contents | 2019
    Schlagwörter: Reinforcement learning , Q-learning

    Online longitudinal trajectory planning for connected and autonomous vehicles in mixed traffic flow with deep reinforcement learning approach

    Cheng, Yanqiu / Hu, Xianbiao / Chen, Kuanmin et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep Q-learning , reinforcement learning

    Deep reinforcement learning in dynamic positioning control: by rewarding small response of riser angles

    Wang, Fang / Bai, Yong / Bai, Jie et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: Reinforcement learning , Q-learning

    Mobile Robot Path Planning using Q-Learning with Guided Distance and Moving Target Concept

    Freier Zugriff
    Ong, Pauline / Low, Ee Soong / Low, Cheng Yee | BASE | 2020
    Schlagwörter: Q-learning , reinforcement

    Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors

    Guo, Qiangqiang / Angah, Ohay / Liu, Zhijun et al. | Elsevier | 2021
    Schlagwörter: Hybrid reinforcement learning , Deep Q-learning

    Deep Reinforcement Learning for Drone Delivery

    Freier Zugriff
    Guillem Muñoz / Cristina Barrado / Ender Çetin et al. | DOAJ | 2019
    Schlagwörter: reinforcement learning , Q-learning

    Traffic Lights Control Using Reinforcement Learning: A Comparative Study

    Errajraji, Khalid / Bouayad, Anas / Fardousse, Khalid | Springer Verlag | 2024
    Schlagwörter: Reinforcement learning , Q-learning , Deep Q-learning

    Odor supported place cell model and goal navigation in rodents

    Freier Zugriff
    Tamosiunaite, Minija / Kulvicius, Tomas / Ainge, James et al. | BASE | 2020
    Schlagwörter: Reinforcement learning , Q-learning

    A reinforcement learning model for personalized driving policies identification

    Freier Zugriff
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Schlagwörter: Reinforcement learning , Q-learning

    Deep Q learning-based traffic signal control algorithms: Model development and evaluation with field data

    Wang, Hao / Yuan, Yun / Yang, Xianfeng Terry et al. | Taylor & Francis Verlag | 2023
    Schlagwörter: deep reinforcement learning , Q-learning

    Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient

    Freier Zugriff
    Cabezas Olivenza, Mireya / Zulueta Guerrero, Ekaitz / Sánchez Chica, Ander et al. | BASE | 2023
    Schlagwörter: reinforcement learning , q-learning

    Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

    Yan, Yimo / Chow, Andy H.F. / Ho, Chin Pang et al. | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Multi-agent Q-Learning control of spacecraft formation flying reconfiguration trajectories

    Kankashvar, Mohammadrasoul / Bolandi, Hossein / Mozayani, Nasser | Elsevier | 2022
    Schlagwörter: Reinforcement learning , Q-learning

    Road Artery Traffic Light Optimization with Use of the Reinforcement Learning

    Freier Zugriff
    Rok Marsetič / Darja Šemrov / Marijan Žura | DOAJ | 2014
    Schlagwörter: reinforcement learning , Q learning