Essays about: "reward system problems"
Showing result 1 - 5 of 19 essays containing the words reward system problems.
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1. Optimal taxation by two-agent reinforcement learning
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : An economy’s tax policy is one of the vital moments for, on the one hand, stimulating economic growth and labor, and, on the other hand gaining revenues from economic performance. A sufficient level of tax revenues is further important to keep up with governmental obligations and social welfare. READ MORE
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2. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space
University essay from KTH/Skolan för teknikvetenskap (SCI); KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. READ MORE
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3. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. READ MORE
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4. Knowledge Sharing in the Internal Audit Department
University essay from Högskolan Dalarna/FöretagsekonomiAbstract : Aim: This study aims to investigate the factors that affect the practices of effective knowledge sharing in the Middle East region. Method: The research paper is based on a single case study about the internal audit department in a commercial Lebanese bank. Qualitative research methods have been applied which included semi-structured interviews. READ MORE
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5. Reinforcement Learning– Intelligent Weighting of Monte Carlo and Temporal Differences
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : In Reinforcement learning the updating of the value functions determines the information spreading across the state/state-action space which condenses the valuebased control policy. It is important to have an information propagation across the value domain in a manner that is effective. READ MORE
