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    Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks

    Pérez-Dattari, Rodrigo / Celemin, Carlos / Ruiz-del-Solar, Javier et al. | Springer Verlag | 2020
    Schlagwörter: Reinforcement Learning , Deep Learning , Interactive Machine Learning , Learning from Demonstration

    AI-based Parameter Optimization Method

    Applied for Vehicles with Dual Clutch Transmissions
    Schmiedt, Marius / Pawlenka, Andreas / Rinderknecht, Stephan | Springer Verlag | 2022
    Schlagwörter: Deep Learning , Machine Learning , Reinforcement Learning

    Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems

    Dai, Yueyue / Ma, Huihui | Springer Verlag | 2021
    Schlagwörter: Machine learning , Reinforcement learning , Supervised learning , Semi-supervised learning , Meta-learning , Unsupervised learning , Federated learning , Transfer learning

    Deep BBN Learning for Health Assessment toward Decision-Making on Structures under Uncertainties

    Pan, Hong / Gui, Guoqing / Lin, Zhibin et al. | Springer Verlag | 2018
    Schlagwörter: deep learning , probabilistic learning , deep Bayesian belief network learning

    Intelligent Traffic Control by Multi-agent Cooperative Q Learning (MCQL)

    Vidhate, Deepak A. / Kulkarni, Parag | Springer Verlag | 2018
    Schlagwörter: Cooperative learning , Multi-agent 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

    Reference-Free Learning Bipedal Motor Skills via Assistive Force Curricula

    Shi, Fan / Kojio, Yuta / Makabe, Tasuku et al. | Springer Verlag | 2023
    Schlagwörter: Reinforcement learning , Curriculum learning

    BulletArm: An Open-Source Robotic Manipulation Benchmark and Learning Framework

    Wang, Dian / Kohler, Colin / Zhu, Xupeng et al. | Springer Verlag | 2023
    Schlagwörter: Robotic learning , Reinforcement learning

    Sound-Based Abnormal Combustion Classification Model for High Compression Ratio, Spark-Ignition Engines Using Mel-Frequency Cepstrum Coefficients and Ensemble Learning Algorithms

    Kim, Seongsu / Kim, Junghwan | Springer Verlag | 2023
    Schlagwörter: Supervised learning , Ensemble learning

    Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques

    Jena, Amit Kumar / Potru, Sai Sudhamsa / Balaji, Deepak Raghavan et al. | Springer Verlag | 2023
    Schlagwörter: Deep learning , Ensemble learning , Transfer learning

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