1–20 von 59 Ergebnissen
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    Learning Stabilization Control of Quadrotor in Near-Ground Setting Using Reinforcement Learning

    Freier Zugriff
    Briliauskas, Mantas | BASE | 2024
    Schlagwörter: reward function for near ground flight

    Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism

    Zhao, Guanglei / Chen, Zihao / Liao, Weiming | Springer Verlag | 2024
    Schlagwörter: Reward function

    Assessment of safety risk in airline operations based on constant-sum game

    Peng, Chong / Sun, Youchao / Guo, Yuanyuan et al. | SAGE Publications | 2024
    Schlagwörter: reward mechanism

    Strategic use of fare-reward schemes in a ride-sourcing market: An equilibrium analysis

    Son, Dong-Hoon / Yang, Hai | Elsevier | 2023
    Schlagwörter: Reward strategy , Fare-reward scheme

    Pricing strategies in reward-based crowdfunding: Whether to introduce price guarantee?

    Sun, Yanhong / Sheng, Yiyun / Yan, Shuai et al. | Elsevier | 2023
    Schlagwörter: Reward-based crowdfunding

    On-demand ride-sourcing markets with cryptocurrency-based fare-reward scheme

    Son, Dong-Hoon | Elsevier | 2023
    Schlagwörter: Fare-reward scheme

    Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning

    Nasernejad, Payam / Sayed, Tarek / Alsaleh, Rushdi | Taylor & Francis Verlag | 2023
    Schlagwörter: reward function

    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: reward function

    A non-additive path-based reward credit scheme for traffic congestion management

    Luan, Mingye / Waller, S.Travis / Rey, David | Elsevier | 2023
    Schlagwörter: Reward mechanism

    Densely rewarded reinforcement learning for robust low-thrust trajectory optimization

    Hu, Jincheng / Yang, Hongwei / Li, Shuang et al. | Elsevier | 2023
    Schlagwörter: Reward function

    Credit charge-cum-reward scheme for green multi-modal mobility

    Ding, Hongxing / Yang, Hai / Qin, Xiaoran et al. | Elsevier | 2023
    Schlagwörter: Credit charge-cum-reward scheme

    A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery

    Song, Yuchen / Li, Dawei / Ma, Zhenliang et al. | Elsevier | 2023
    Schlagwörter: Reward function

    Impulsive guidance of optimal pursuit with conical imaging zone for the evader

    Geng, Yuanzhuo / Yuan, Li / Guo, Yanning et al. | Elsevier | 2023
    Schlagwörter: Reward function design

    An improved Dueling Deep Q-network with optimizing reward functions for driving decision method

    Cao, Jiaqi / Wang, Xiaolan / Wang, Yansong et al. | SAGE Publications | 2023
    Schlagwörter: reward function

    Faster Robotic Arm Movement Planning via Guided Attenuation Reward Shaping

    Han, Xiaodong / Tao, Dapeng | Springer Verlag | 2023
    Schlagwörter: Reward shaping

    Integrated robust navigation and guidance for the kinetic impact of near-earth asteroids based on deep reinforcement learning

    Yuan, Hao / Li, Dongxu / Wang, Jie | Elsevier | 2023
    Schlagwörter: Reward function shaping

    A Reinforcement Learning Method to Trajectory Design for Manned Lunar Mission via Reshaping Rewards

    Yang, Luyi / Li, Haiyang / Li, Xingyong et al. | Springer Verlag | 2023
    Schlagwörter: Reshaping reward

    Linkage between rewards and workspace morale in a hyperinflationary environment

    Freier Zugriff
    Sixpence, Samuel / Muzanenhamo, Leonard / Ukpere, Wilfred | BASE | 2022
    Schlagwörter: Extrinsic reward , Intrinsic reward , Social reward Total reward

    Microscopic modeling of cyclists interactions with pedestrians in shared spaces: a Gaussian process inverse reinforcement learning approach

    Alsaleh, Rushdi / Sayed, Tarek | Taylor & Francis Verlag | 2022
    Schlagwörter: reward function

    Can motorcyclist behavior in traffic conflicts be modeled? A deep reinforcement learning approach for motorcycle-pedestrian interactions

    Lanzaro, Gabriel / Sayed, Tarek / Alsaleh, Rushdi | Taylor & Francis Verlag | 2022
    Schlagwörter: reward function