Essays about: "important of reward system"
Showing result 1 - 5 of 49 essays containing the words important of reward system.
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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. Påverkas anknytningsbeteende hos hund av ägarens personlighet och/eller vuxna anknytningsstil?
University essay from SLU/Dept. of Clinical SciencesAbstract : Hunden kan skapa ett band med sin djurägare som är lika unikt som viktigt. Genom evolutionära anpassningar och selektiv avel och har flera förändringar skett som förändrat hundens morfologi, anknytningssystem och belöningssystem. Ett resultat av detta är bland annat hundens förmåga att forma anknytningsband till sin djurägare. READ MORE
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3. Gamification Otherwise : Alternative directions to enhance the sense of friendliness in online communities
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Gamification is a widely explored topic in various contexts. In particular, gamification is used in the form of likes and reactions on various social media. However, it was identified that this reward system in the form of likes led to addictive behavior. READ MORE
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4. Multi-Agent Information Gathering Using Stackelberg Games
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Multi-agent information gathering (MA-IG) enables autonomous robots to cooperatively collect information in an unfamiliar area. In some scenarios, the focus is on gathering the true mapping of a physical quantity such as temperature or magnetic field. READ MORE
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5. 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