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11/29/2022
Numerical evidence against advantage with quantum fidelity kernels on classical data
Quantum machine learning techniques are commonly considered one of the m...
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06/10/2022
Multifidelity Reinforcement Learning with Control Variates
In many computational science and engineering applications, the output o...
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01/02/2021
Learning-Based Distributed Random Access for Multi-Cell IoT Networks with NOMA
Non-orthogonal multiple access (NOMA) is a key technology to enable mass...
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05/07/2020
A Gradient-Aware Search Algorithm for Constrained Markov Decision Processes
The canonical solution methodology for finite constrained Markov decisio...
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01/31/2020
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV based Random Access IoT Networks with NOMA
In this paper, we apply the Non-Orthogonal Multiple Access (NOMA) techni...
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11/25/2019
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
Quantum computing is a computational paradigm with the potential to outp...
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11/11/2019