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20212023
most citedWeight Re-Mapping for Variational Quantum Algorithms

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph20231 cited

Weight Re-Mapping for Variational Quantum Algorithms

Michael Kölle, Alessandro Giovagnoli, Jonas Stein +5

Inspired by the remarkable success of artificial neural networks across a broad spectrum of AI tasks, variational quantum circuits (VQCs) have recently seen an upsurge in quantum m…

cs.LG2023

Compression of GPS Trajectories using Autoencoders

Michael Kölle, Steffen Illium, Carsten Hahn +3

The ubiquitous availability of mobile devices capable of location tracking led to a significant rise in the collection of GPS data. Several compression methods have been developed…

cs.MA2023

Learning to Participate through Trading of Reward Shares

Michael Kölle, Tim Matheis, Philipp Altmann +1

Enabling autonomous agents to act cooperatively is an important step to integrate artificial intelligence in our daily lives. While some methods seek to stimulate cooperation by le…

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…

cs.LG2021

Quantifying Multimodality in World Models

Andreas Sedlmeier, Michael Kölle, Robert Müller +2

Model-based Deep Reinforcement Learning (RL) assumes the availability of a model of an environment's underlying transition dynamics. This model can be used to predict future effect…