Essays about: "Flerarmade banditer"

Found 3 essays containing the words Flerarmade banditer.

  1. 1. Graph Bandits : Multi-Armed Bandits with Locality Constraints

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

    Author : Kasper Johansson; [2022]
    Keywords : Multi-armed bandits; locality constraints; reinforcement learning; Flerarmade banditer; lokala restriktioner; förstärkningsinlärning;

    Abstract : Multi-armed bandits (MABs) have been studied extensively in the literature and have applications in a wealth of domains, including recommendation systems, dynamic pricing, and investment management. On the one hand, the current MAB literature largely seems to focus on the setting where each arm is available to play at each time step, and ignores how agents move between the arms. READ MORE

  3. 2. A Recommender System for Suggested Sites using Multi-Armed Bandits : Initialising Bandit Contexts by Neural Collaborative Filtering

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : William Stenberg; [2021]
    Keywords : Recommender Systems; Neural Collaborative Filtering; Multi-Armed Bandits;

    Abstract : The abundance of information available on the internet necessitates means of quickly finding what is relevant for the individual user. To this end, there has been much research concerning recommender systems and lately specifically methods using deep learning for such systems. READ MORE

  4. 3. Reference Tracking with Adversarial Adaptive Output- Feedback Model Predictive Control

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

    Author : Linda Bui; [2021]
    Keywords : Model Predictive Control; Adversarial Multi-Armed Bandits; Kalman Filter; Output-Feedback; Adaptive Control ; Modell Prediktiv Reglering; Kontradiktoriska Flerarmade Banditer; Kalman Filter; Output-Feedback; Adaptiv Reglering;

    Abstract : Model Predictive Control (MPC) is a control strategy based on optimization that handles system constraints explicitly, making it a popular feedback control method in real industrial processes. However, designing this control policy is an expensive operation since an explicit model of the process is required when re-tuning the controller. READ MORE