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06/19/2023
Enhancing variational quantum state diagonalization using reinforcement learning techniques
The development of variational quantum algorithms is crucial for the app...
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05/31/2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
Deep neural networks are widely known for their remarkable effectiveness...
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11/11/2022
Emergency action termination for immediate reaction in hierarchical reinforcement learning
Hierarchical decomposition of control is unavoidable in large dynamical ...
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07/30/2022
Reinforcement learning with experience replay and adaptation of action dispersion
Effective reinforcement learning requires a proper balance of exploratio...
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03/30/2021
Reinforcement learning for optimization of variational quantum circuit architectures
The study of Variational Quantum Eigensolvers (VQEs) has been in the spo...
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09/12/2019
Effective transfer learning for hyperspectral image classification with deep convolutional neural networks
Hyperspectral imaging is a rich source of data, allowing for multitude o...
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04/02/2015
