Essays about: "Deep Q-learning Network"
Showing result 6 - 10 of 33 essays containing the words Deep Q-learning Network.
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6. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks
University essay from Lunds universitet/Fysiska institutionenAbstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE
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7. An efficient deep reinforcement learning approach to the energy management for a parallel hybrid electric vehicle
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : In contemporary world, the global energy crisis and raise of greenhouse gas concentration in atmosphere necessitate the energy conservation and emission reduction. Hybrid electric vehicles (HEVs) can achieve great promise in reducing fuel consumption and greenhouse gas emissions by appropriate energy management strategies (EMSs). READ MORE
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8. Reinforcement Learning for Pickup and Delivery Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this project multi-agent reinforcement learning (RL) for a warehouse environmentwith robots delivering packages has been studied. This was done by first implementing the RLalgorithm Q-learning and investigating how the parameters of Q-learning affect the performanceof the algorithm. READ MORE
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9. 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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10. Board Game AI Using Reinforcement Learning
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : The purpose of this thesis is to develop an agent that learns to play an interpretation ofthe popular game Ticket To Ride. This project is done in collaboration with Piktiv AB.This thesis presents how an agent based on the Double Deep Q-network algorithm learnsto play a version of Ticket To Ride using self-play. READ MORE
