Andreas Sedlmeier

According to our database1, Andreas Sedlmeier authored at least 22 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Modellierung von Unsicherheit und Wahrnehmung für Lernende Systeme.
PhD thesis, 2023

2022
Capturing Dependencies Within Machine Learning via a Formal Process Model.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Adaptation and Learning, 2022

Quantifying Multimodality in World Models.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
Visual Transformers for Primates Classification and Covid Detection.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Specification Aware Multi-Agent Reinforcement Learning.
Proceedings of the Agents and Artificial Intelligence - 13th International Conference, 2021

SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
The scenario coevolution paradigm: adaptive quality assurance for adaptive systems.
Int. J. Softw. Tools Technol. Transf., 2020

Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Policy Entropy for Out-of-Distribution Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Uncertainty-based Out-of-Distribution Classification in Deep Reinforcement Learning.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Nash Equilibria in Multi-Agent Swarms.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

Learning and Testing Resilience in Cooperative Multi-Agent Systems.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Evolutionary Generation of Primitive-Based Mesh Abstractions.
J. WSCG, 2019

Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning.
CoRR, 2019

Bayesian Surprise in Indoor Environments.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Scenario co-evolution for reinforcement learning on a grid world smart factory domain.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Learning indoor space perception.
J. Locat. Based Serv., 2018

Discovering and Learning Recurring Structures in Building Floor Plans.
Proceedings of the Progress in Location Based Services 2018, 2018

Adapting Quality Assurance to Adaptive Systems: The Scenario Coevolution Paradigm.
Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Distributed Systems, 2018

Trajectory annotation using sequences of spatial perception.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2011
Distributed group and rights management for mobile ad hoc networks.
Proceedings of the 4th Joint IFIP Wireless and Mobile Networking Conference, 2011


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