Synonyme wurden verwendet für: Verstärkung
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1–18 von 18 Ergebnissen
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    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
    Schlagwörter: Reinforcement Learning

    Simulating Human Walking: A Model-BasedReinforcement Learning Approach with musculoskeletal Modelling

    Freier Zugriff
    Su, Binbin / Gutierrez-Farewik, Elena | BASE
    Schlagwörter: Reinforcement learning

    Scalable Model-based Policy Optimization for Decentralized Networked Systems

    Freier Zugriff
    Du, Y / Ma, C / Liu, Y et al. | BASE | 2022
    Schlagwörter: Reinforcement learning

    Safe Trajectory Sampling in Model-Based Reinforcement Learning

    Freier Zugriff
    Zwane, S / Hadjivelichkov, D / Luo, Y et al. | BASE | 2023
    Schlagwörter: Reinforcement learning

    RTFM: Generalising to New Environment Dynamics via Reading

    Freier Zugriff
    Zhong, V / Rocktäschel, T / Grefenstette, E | BASE | 2020
    Schlagwörter: reinforcement learning

    Reinforcement Learning for Pivoting Task

    Freier Zugriff
    Antonova, Rika / Cruciani, Silvia / Smith, Christian et al. | BASE
    Schlagwörter: Reinforcement Learning

    Policy Learning with Embedded Koopman Optimal Control

    Freier Zugriff
    Yin, Hang / Welle, Michael C. / Kragic, Danica | BASE
    Schlagwörter: Reinforcement Learning

    Learning Stable Normalizing-Flow Control for Robotic Manipulation

    Freier Zugriff
    Abdul Khader, Shahbaz / Yin, Hang / Pietro, Falco et al. | BASE
    Schlagwörter: Reinforcement Learning

    Learning Deep Neural Policies with Stability Guarantees

    Freier Zugriff
    Abdul Khader, Shahbaz / Yin, Hang / Falco, Pietro et al. | BASE
    Schlagwörter: Reinforcement Learning

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

    Freier Zugriff
    Ruan, J / Du, Y / Xiong, X et al. | BASE | 2022
    Schlagwörter: Reinforcement Learning

    Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings

    Freier Zugriff
    Vecerik, M / Kay, J / Hadsell, R et al. | BASE | 2022
    Schlagwörter: Reinforcement learning

    Deep reinforcement learning for the optimal placement of cryptocurrency limit orders

    Freier Zugriff
    Schnaubelt, Matthias | BASE | 2020
    Schlagwörter: Deep Reinforcement Learning

    CT-DQN: Control-Tutored Deep Reinforcement Learning

    Freier Zugriff
    De Lellis, Francesco / Coraggio, Marco / Russo, Giovanni et al. | BASE | 2023
    Schlagwörter: Reinforcement learning based control , deep reinforcement learning

    CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms

    Freier Zugriff
    Jin, J / Zhou, M / Zhang, W et al. | BASE | 2019
    Schlagwörter: Hierarchical Reinforcement Learning , Multi-agent Reinforcement Learning; Ride-Hailing; Order Dispatching; Fleet Management

    Cognitive radar mode control: a comparison of different reinforcement learning algorithms

    Freier Zugriff
    Ford, SA / Ritchie, M | BASE | 2022
    Schlagwörter: reinforcement learning

    A Deep Reinforcement Learning Approach for Inverse Kinematics of Concentric Tube Robots

    Freier Zugriff
    Iyengar, K / Dwyer, G / Stoyanov, D | BASE | 2019
    Schlagwörter: deep reinforcement learning

    AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems

    Freier Zugriff
    Wan, Xu / Sun, Mingyang / Chen, Boli et al. | BASE | 2023
    Schlagwörter: ML: Reinforcement Learning Algorithms

    Accessibility-Based Clustering for Efficient Learning of Locomotion Skills

    Freier Zugriff
    Zhang, C / Yu, W / Li, Z | BASE | 2022
    Schlagwörter: Reinforcement learning