Essays about: "Reinforcement Learning"

Showing result 21 - 25 of 433 essays containing the words Reinforcement Learning.

  1. 21. A hierarchical neural network approach to learning sensor planning and control

    University essay from Uppsala universitet/Datorteknik

    Author : Nicke Löfwenberg; [2023]
    Keywords : sensor planning; hierarchical reinforcement learning; reinforcement learning; sensor control; camera control; sensorplanering; hierarkisk förstärkningsinlärning; förstärkningsinlärning; sensorkontroll; kamerakontroll;

    Abstract : The ability to search their environment is one of the most fundamental skills for any living creature. Visual search in particular is abundantly common for almost all animals. READ MORE

  3. 22. Safe Reinforcement Learning for Social Human-Robot Interaction : Shielding for Appropriate Backchanneling Behavior

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mohamed Akif; [2023]
    Keywords : Human-Robot Interaction; Backchanneling; Social Robots; Safe Reinforcement Learning; Shielding; Recurrent Neural Network; Gated Recurrent Unit; Människa-Robot Interaktion; Uppbackning; Sociala Robotar; Säker Förstärkningsinlärning; Avskärmning; Återkommande Neurala Nätverk; Gated Återkommande Enhet;

    Abstract : Achieving appropriate and natural backchanneling behavior in social robots remains a challenge in Human-Robot Interaction (HRI). This thesis addresses this issue by utilizing methods from Safe Reinforcement Learning in particular shielding to improve social robot backchanneling behavior. READ MORE

  4. 23. Optimal Gait Control of Soft Quadruped Robot by Model-based Reinforcement Learning

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Niu Xuezhi; [2023]
    Keywords : Quadruped Robots; Soft Robotics; Reinforcement Learning; Gait Control; Model-Based Control Optimization; Kvadrupedroboter; Mjukrobotik; Förstärkningsinlärning; Gångkontroll; Optimering av robotkontroll;

    Abstract : Quadruped robots offer distinct advantages in navigating challenging terrains due to their flexible and shock-absorbing characteristics. This flexibility allows them to adapt to uneven surfaces, enhancing their maneuverability. READ MORE

  5. 24. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

    University essay from

    Author : Nishant Pillai; Roberto Giaconia; [2023]
    Keywords : ;

    Abstract : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. READ MORE

  6. 25. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

    University essay from Lunds universitet/Fysiska institutionen

    Author : Joyce Cobussen; [2023]
    Keywords : Physics and Astronomy;

    Abstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE