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Kyrill Schmid

Learning to Participate through Trading of Reward Shares

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Jan 18, 2023
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Stochastic Market Games

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Jul 19, 2022
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Towards Multi-Agent Reinforcement Learning using Quantum Boltzmann Machines

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Sep 22, 2021
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Solving Large Steiner Tree Problems in Graphs for Cost-Efficient Fiber-To-The-Home Network Expansion

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Sep 22, 2021
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Analysis of Feature Representations for Anomalous Sound Detection

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Dec 11, 2020
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Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks

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Aug 05, 2019
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Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling

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May 10, 2019
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Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies

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Jan 25, 2019
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Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms

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Oct 30, 2018
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