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akaturk Academic measurement

OpenAlex topic

Reinforcement Learning in Robotics

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

OpenAlex 627 works 28 author topics

Works

627 works

  1. OpenAlex top 1% OpenAlex 99.9%

    No abstract yet.

  2. OpenAlex top 10% OpenAlex 98.0%

    No abstract yet.

  3. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 10% OpenAlex 98.0%

    No abstract yet.

  4. YÖKSİS SJR Q3 JCR Q4 OpenAlex top 1% OpenAlex 99.3%

    This paper provides a comprehensive introduction to the design of the minimally expressive robot KASPAR, which is particularly suitable for human–robot interaction studies. A low-cost design with off-the-shelf components has been used in a novel desi

  5. OpenAlex top 1% OpenAlex 100.0%

    Kinesthetic teaching is an approach to providing demonstrations to a robot in Learning from Demonstration whereby a human physically guides a robot to perform a skill. In the common usage of kinesthetic teaching, the robot's trajectory during a demonstration is recorded from start to end. In this paper we consider an…

  6. OpenAlex top 1% OpenAlex 99.2%

    No abstract yet.

  7. OpenAlex top 10% OpenAlex 90.5%

    This paper provides a comprehensive introduction to the design of the minimally expressive robot KASPAR, which is particularly suitable for human–robot interaction studies. A low-cost design with off-the-shelf components has been used in a novel design inspired from a multi-disciplinary viewpoint, including comics des…

  8. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.1%

    No abstract yet.

  9. YÖKSİS SJR Q1 JCR Q2 OpenAlex top 1% OpenAlex 99.7%

    No abstract yet.

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.1%

    No abstract yet.

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex top 10% OpenAlex 98.1%

    No abstract yet.

  12. OpenAlex top 1% OpenAlex 99.1%

    In this paper we study the online learning problem involving rested and restless multiarmed bandits with multiple plays. The system consists of a single player/user and a set of K finite-state discrete-time Markov chains (arms) with unknown state spaces and statistics. At each time step the player can play M, M ≤ K, a…

Academicians

28 academicians