Essays about: "real state agent"
Showing result 1 - 5 of 25 essays containing the words real state agent.
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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. Asynchronous Multi-Agent Games With Imperfect Information and Knowledge Based Strategies
University essay from KTH/DatavetenskapAbstract : This project investigates abstract games, which model real life tasks that are projected onto graphs. Strategic planning within these games provide a way of coordinating the participants in order for them to reach some desired objective. READ MORE
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3. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. READ MORE
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4. Deep Reinforcement Learning for Dynamic Grasping
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Dynamic grasping is the action of, using only contact force, manipulating the position of a moving object in space. Doing so with a robot is a quite complex task in itself, but is one with wide-ranging applications. READ MORE
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5. Risk-Sensitive Decision-Making for Autonomous-Driving
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : A natural aspect of the real world is that one can face uncertain situations on a daily basis. Depending on one's experience, we humans behave and respond differently to uncertainty. However, when designing intelligent agents, one needs to pay attention to the uncertainty inlearning tasks to design risk-sensitive algorithms. READ MORE