15 citations · 17 across the 3 of their papers we have counts for
6 papers
Analysis of Feature Representations for Anomalous Sound Detection
Robert Müller, Steffen Illium, Fabian Ritz +1
In this work, we thoroughly evaluate the efficacy of pretrained neural networks as feature extractors for anomalous sound detection. In doing so, we leverage the knowledge that is…
Difficulty Classification of Mountainbike Downhill Trails utilizing Deep Neural Networks
Stefan Langer, Robert Müller, Kyrill Schmid +1
The difficulty of mountainbike downhill trails is a subjective perception. However, sports-associations and mountainbike park operators attempt to group trails into different level…
Memory Bounded Open-Loop Planning in Large POMDPs using Thompson Sampling
Thomy Phan, Lenz Belzner, Marie Kiermeier +3
State-of-the-art approaches to partially observable planning like POMCP are based on stochastic tree search. While these approaches are computationally efficient, they may still co…
Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies
Thomy Phan, Kyrill Schmid, Lenz Belzner +3
Decision making in multi-agent systems (MAS) is a great challenge due to enormous state and joint action spaces as well as uncertainty, making centralized control generally infeasi…
Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms
Thomas Gabor, Lenz Belzner, Thomy Phan +1
As automatic optimization techniques find their way into industrial applications, the behavior of many complex systems is determined by some form of planner picking the right actio…
The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested Agents
Lenz Belzner, Kyrill Schmid, Thomy Phan +2
In collective adaptive systems (CAS), adaptation can be implemented by optimization wrt. utility. Agents in a CAS may be self-interested, while their utilities may depend on other…