Zobrazeno 1 - 10
of 29
pro vyhledávání: '"KRUSE, GEORG"'
Advancements in Quantum Computing (QC) and Neural Combinatorial Optimization (NCO) represent promising steps in tackling complex computational challenges. On the one hand, Variational Quantum Algorithms such as QAOA can be used to solve a wide range
Externí odkaz:
http://arxiv.org/abs/2405.07790
Publikováno v:
Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART 2024
Quantum Reinforcement Learning (QRL) emerged as a branch of reinforcement learning (RL) that uses quantum submodules in the architecture of the algorithm. One branch of QRL focuses on the replacement of neural networks (NN) by variational quantum cir
Externí odkaz:
http://arxiv.org/abs/2312.13798
The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising variational quantum algorithm for addressing NP hard combinatorial optimization problems. However, a significant limitation lies in optimizing its classical parameters,
Externí odkaz:
http://arxiv.org/abs/2309.12181
The optimization of electrical circuits is a difficult and time-consuming process performed by experts, but also increasingly by sophisticated algorithms. In this paper, a reinforcement learning (RL) approach is adapted to optimize a LLC converter at
Externí odkaz:
http://arxiv.org/abs/2303.00004
Autor:
Kruse, Georg Richard
Publikováno v:
Sammelbände der Internationalen Musikgesellschaft, 1911 Jan 01. 12(2), 267-296.
Externí odkaz:
https://www.jstor.org/stable/929485
Publikováno v:
Fahrerassistenzsysteme und Effiziente Antriebe; 2015, p84-93, 10p
Publikováno v:
MTZ: Motortechnische Zeitschrift; feb2014, Vol. 75 Issue 2, p14-20, 7p
Publikováno v:
ABA007
H 1812
H 1812
Richard Wagner ; Georg Richard Kruse.
Externí odkaz:
Digitální knihovna AV ČR