Sökning: "reinforcement learning"
Visar resultat 31 - 35 av 175 avhandlingar innehållade orden reinforcement learning.
31. Efficient Online Learning under Bandit Feedback
Sammanfattning : In this thesis we address the multi-armed bandit (MAB) problem with stochastic rewards and correlated arms. Particularly, we investigate the case when the expected rewards are a Lipschitz function of the arm and extend these results to bandits with arbitrary structure that is known to the decision maker. LÄS MER
32. Synergies between Policy Learning and Sampling-based Planning
Sammanfattning : Recent advances in artificial intelligence and machine learning have significantly impacted the field of robotics and led to the interdisciplinary study of robot learning. These developments have the potential to revolutionize the automation of tasks in various industries by reducing the reliance on human workers. LÄS MER
33. 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
34. Robot Learning for Manipulation of Deformable Linear Objects
Sammanfattning : Deformable Object Manipulation (DOM) is a challenging problem in robotics. Until recently there has been limited research on the subject, with most robotic manipulation methods being developed for rigid objects. LÄS MER
35. Reinforcement Learning Endowed Robot Planning under Spatiotemporal Logic Specifications
Sammanfattning : Recent advances in artificial intelligence are producing fascinating results in the field of computer science. Motivated by these successes, the desire to transfer and implement learning methods on real-life systems is growing as well. LÄS MER