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quant-ph2022★ 2 cited
Improving Convergence for Quantum Variational Classifiers using Weight Re-Mapping
Michael Kölle, Alessandro Giovagnoli, Jonas Stein +3
In recent years, quantum machine learning has seen a substantial increase in the use of variational quantum circuits (VQCs). VQCs are inspired by artificial neural networks, which…
cs.AI2022
Decentralized scheduling through an adaptive, trading-based multi-agent system
Michael Kölle, Lennart Rietdorf, Kyrill Schmid
In multi-agent reinforcement learning systems, the actions of one agent can have a negative impact on the rewards of other agents. One way to combat this problem is to let agents t…