Essays about: "förstärkningsinlärning"

Showing result 6 - 10 of 94 essays containing the word förstärkningsinlärning.

1. 6. 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. 7. 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. 8. 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. 9. Cooperative Modular Neural Networks for Artificial Intelligence in Games : A Comparison with A Monolithic Neural Network Regarding Technical Aspects and The Player Experience

   University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

   Author : Emil Högstedt; Ove Ødegård; [2023]
   Keywords : Neural Network; Modularization; Sensor; Reinforcement Learning; Supervised Learning; Neuralt Nätverk; Modulärisering; Sensor; Förstärkningsinlärning; Väglett Lärande;

   Abstract : Recent years have seen multiple machine-learning research projects concerning agents in video games. Yet, there is a disjoint between this academic research and the video game industry, evidenced by the fact that game developers still hesitate to use neural networks (NN) due to lack of clarity and control. READ MORE

6. 10. Real-time adaptation of robotic knees using reinforcement control

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

   Author : Leifur Daníel Sigurðarson; [2023]
   Keywords : Machine learning; deep reinforcement learning; transfer learning; medical device; prosthetic; prosthesis; controls; human-in-the-loop; Maskininlärning; djup förstärkningsinlärning; överföringsinlärning; medicinsk utrustning; protes; kontroller; människa-i-loopen;

   Abstract : Microprocessor-controlled knees (MPK’s) allow amputees to walk with increasing ease and safety as technology progresses. As an amputee is fitted with a new MPK, the knee’s internal parameters are tuned to the user’s preferred settings in a controlled environment. READ MORE