Essays about: "Markov decision process"
Showing result 16 - 20 of 47 essays containing the words Markov decision process.
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16. Risk-aware Autonomous Driving Using POMDPs and Responsibility-Sensitive Safety
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Autonomous vehicles promise to play an important role aiming at increased efficiency and safety in road transportation. Although we have seen several examples of autonomous vehicles out on the road over the past years, how to ensure the safety of autonomous vehicle in the uncertain and dynamic environment is still a challenging problem. READ MORE
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17. Belief-aided Robust Control for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE
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18. Research on Dynamic Offloading Strategy of Satellite Edge Computing Based on Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nowadays more and more data is generated at the edge of the network, and people are beginning to consider decentralizing computing tasks to the edge of the network. The network architecture of edge computing is different from the traditional network architecture. READ MORE
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19. AI-Driven Meal Planning in the FoodTech Industry: A Reinforcement Learning Approach
University essay from Lunds universitet/Matematik LTHAbstract : Traditional meal planning for large kitchens is a laborious and complex affair with multiple external constraints imposed on the meal plan, such as a healthy nutrition profile and a low environmental impact, which should be fulfilled while being under budget. This is a tough task for humans but by modelling the process with a Markov Decision Process and using Reinforcement Learning an agent can be taught to create meal plans from constraints. READ MORE
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20. Deep Reinforcement Learning for Autonomous Highway Driving Scenario
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We present an autonomous driving agent on a simulated highway driving scenario with vehicles such as cars and trucks moving with stochastically variable velocity profiles. The focus of the simulated environment is to test tactical decision making in highway driving scenarios. READ MORE