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OpenAlex topic

Adaptive Dynamic Programming Control

This page lists works and academicians tagged with an OpenAlex topic. It is not a YÖKSİS primary or secondary field.

OpenAlex 183 works 4 author topics

Works

183 works

  1. Active fault-tolerant control of quadrotor UAVs with nonlinear observer-based sliding mode control validated through hardware in the loop experiments 2023
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.3%

    No abstract yet.

  2. Active fault-tolerant control of quadrotor UAVs with nonlinear observer-based sliding mode control validated through hardware in the loop experiments 2023
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.4%

    No abstract yet.

  3. Active fault-tolerant control of quadrotor UAVs with nonlinear observer-based sliding mode control validated through hardware in the loop experiments 2023
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 1% OpenAlex 99.4%

    No abstract yet.

  4. Multiagent reinforcement learning using function approximation 2000
    YÖKSİS JCR Q1 OpenAlex top 10% OpenAlex 97.7%

    Learning in a partially observable and nonstationary environment is still one of the challenging problems in the area of multiagent (MA) learning. Reinforcement learning is a generic method that suits the needs of MA learning in many aspects. This paper presents two new multiagent based domain independent coordination…

  5. Multiagent reinforcement learning using function approximation 2000
    YÖKSİS JCR Q1 OpenAlex top 10% OpenAlex 97.7%

    Learning in a partially observable and nonstationary environment is still one of the challenging problems in the area of multiagent (MA) learning. Reinforcement learning is a generic method that suits the needs of MA learning in many aspects. This paper presents two new multiagent based domain independent coordination…

  6. Multiagent reinforcement learning using function approximation 2000
    YÖKSİS JCR Q1 OpenAlex top 10% OpenAlex 97.7%

    Learning in a partially observable and nonstationary environment is still one of the challenging problems in the area of multiagent (MA) learning. Reinforcement learning is a generic method that suits the needs of MA learning in many aspects. This paper presents two new multiagent based domain independent coordination…

  7. Design of a completely model free adaptive control in the presence of parametric, non-parametric uncertainties and random control signal delay 2018
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 97.5%

    No abstract yet.

  8. A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 96.7%

    Model-free control approaches require advanced exploration-exploitation policies to achieve practical tasks such as learning to bipedal robot walk in unstructured environments. In this article, we first construct a comprehensive exploration-exploitation policy that carries quality knowledge about the long-term predict…

  9. A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 96.7%

    Model-free control approaches require advanced exploration-exploitation policies to achieve practical tasks such as learning to bipedal robot walk in unstructured environments. In this article, we first construct a comprehensive exploration-exploitation policy that carries quality knowledge about the long-term predict…

  10. A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches 2023
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 96.7%

    Model-free control approaches require advanced exploration-exploitation policies to achieve practical tasks such as learning to bipedal robot walk in unstructured environments. In this article, we first construct a comprehensive exploration-exploitation policy that carries quality knowledge about the long-term predict…

  11. Learning to balance an NAO robot using reinforcement learning with symbolic inverse kinematic 2017
    YÖKSİS SJR Q2 JCR Q3 OpenAlex top 10% OpenAlex 91.5%

    An autonomous humanoid robot (HR) with learning and control algorithms is able to balance itself during sitting down, standing up, walking and running operations, as humans do. In this study, reinforcement learning (RL) with a complete symbolic inverse kinematic (IK) solution is developed to balance the full lower bod…

  12. A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches 2021
    YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 96.7%

    Model-free control approaches require advanced exploration-exploitation policies to achieve practical tasks such as learning to bipedal robot walk in unstructured environments. In this article, we first construct a comprehensive exploration-exploitation policy that carries quality knowledge about the long-term predict…

Academicians

4 academicians