Sökning: "Reinforcement"
Visar resultat 21 - 25 av 504 avhandlingar innehållade ordet Reinforcement.
21. Decision-Making in Autonomous Driving using Reinforcement Learning
Sammanfattning : The main topic of this thesis is tactical decision-making for autonomous driving. An autonomous vehicle must be able to handle a diverse set of environments and traffic situations, which makes it hard to manually specify a suitable behavior for every possible scenario. LÄS MER
22. Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Sammanfattning : Advancements in robotics and artificial intelligence have paved the way for autonomous agents to perform complex tasks in various domains. A critical challenge in the field of robotics is enabling robots to acquire and refine skills efficiently, allowing them to adapt and excel in diverse environments. LÄS MER
23. Minimizing Regret in Combinatorial Bandits and Reinforcement Learning
Sammanfattning : This thesis investigates sequential decision making tasks that fall in the framework of reinforcement learning (RL). These tasks involve a decision maker repeatedly interacting with an environment modeled by an unknown finite Markov decision process (MDP), who wishes to maximize a notion of reward accumulated during her experience. LÄS MER
24. A study of wireless communications with reinforcement learning
Sammanfattning : The explosive proliferation of mobile users and wireless data traffic in recent years pose imminent challenges upon wireless system design. The trendfor wireless communications becoming more complicated, decentralized andintelligent is inevitable. LÄS MER
25. On Reinforcement Learning and Digital Twins for Intelligent Automation
Sammanfattning : Current trends, such as the fourth industrial revolution and sustainable manufacturing, enable and necessitate manufacturing automation to become more intelligent to meet ever new design requirements in terms of flexibility, speed, quality, and cost. Two distinct research streams towards intelligent manufacturing exist in the scientific literature: the model-based digital twin approach and the data-driven learning approach. LÄS MER