Essays about: "deep q-learning"
Showing result 11 - 15 of 55 essays containing the words deep q-learning.
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11. Deep Reinforcement Learning for Card Games
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This project aims to investigate how reinforcement learning (RL) techniques can be applied to the card game LimitTexas Hold’em. RL is a type of machine learning that can learn to optimally solve problems that can be formulated according toa Markov Decision Process. READ MORE
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12. Training reinforcement learning model with custom OpenAI gym for IIoT scenario
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : Denna studie består av ett experiment för att se, som ett test, hur bra det skulle fungera att implementera en industriell gymmiljö för att träna en reinforcement learning modell. För att fastställa det här tränas modellen upprepade gånger och modellen testas. READ MORE
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13. 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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14. Learning medical triage by using a reinforcement learning approach
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Many emergency departments are today suffering from a overcrowding of people seeking care. The first stage in seeking care is being prioritised in different orders depending on symptoms by a doctor or nurse called medical triage. This is a cumbersome process that could be subject of automatisation. READ MORE
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15. Reinforcement Learning for Market Making
University essay from KTH/Matematisk statistikAbstract : Market making – the process of simultaneously and continuously providing buy and sell prices in a financial asset – is rather complicated to optimize. Applying reinforcement learning (RL) to infer optimal market making strategies is a relatively uncharted and novel research area. READ MORE
