Essays about: "Markov decision processes"
Showing result 1 - 5 of 12 essays containing the words Markov decision processes.
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1. A Bandit Approach to Indirect Inference
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We present a novel approach to the family of parameter estimation methods known asindirect inference (II), using results from bandit optimization, a sub-field of reinforcementlearning concerned with stateless Markov decision processes (MDPs). First, we present theproblem of indirect inference and show how it may be cast into the general framework ofMDPs. READ MORE
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2. Deep Reinforcement Learning and Simulation for the Optimization of Production Systems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The main objective of this master thesis project is to use the deep reinforcement learning (DRL) and simulation method for optimization of production systems. In this project, the Deep Q-learning Networks (DQN) algorithm is first used to optimize seven decision variables in Averill Law’s production system to find the best profit, with 99. READ MORE
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3. Autonomous UAV Path Planning using RSS signals in Search and Rescue Operations
University essay from Linköpings universitet/ReglerteknikAbstract : Unmanned aerial vehicles (UAVs) have emerged as a promising technology in search and rescue operations (SAR). UAVs have the ability to provide more timely localization, thus decreasing the crucial duration of SAR operations. READ MORE
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4. Policy-based Reinforcement learning control for window opening and closing in an office building
University essay from Högskolan Dalarna/MikrodataanalysAbstract : The level of indoor comfort can highly be influenced by window opening and closing behavior of the occupant in an office building. It will not only affect the comfort level but also affects the energy consumption, if not properly managed. This occupant behavior is not easy to predict and control in conventional way. READ MORE
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5. Constructing a Context-aware Recommender System with Web Sessions
University essay fromAbstract : During the last decade, the importance of recommender systems has been increasing to the point that the success of many well-known service providers depends on these technologies. Recommender systems can assist people in their decision making process by anticipating preferences. READ MORE
